Revert loaded skill history persistence

Reverts db01d7c1c8 and 3c83b2eca2.

Restores the prior loaded-skills prompt-extras behavior and removes the compaction reattachment metadata path.

extensions/python/message_loop_prompts_after/AGENTS.md

@@ -2,19 +2,17 @@
 
 ## Purpose
 
-- Own prompt extras and history-output adjustments appended after primary message-loop prompt construction.
+- Own prompt extras appended after primary message-loop prompt construction.
 
 ## Ownership
 
-- Ordered Python files own current datetime, skill recall/load context, loaded-skill reattachment, agent info, parallel job status, and workdir extras injection.
+- Ordered Python files own current datetime, skill recall/load context, agent info, parallel job status, and workdir extras injection.
 
 ## Local Contracts
 
 - Keep injected content bounded and clearly attributed.
 - Preserve ordering where later prompt extras depend on earlier recall or load results.
 - Do not expose secrets or private files from workdir extras.
-- Explicitly loaded skill instructions belong in normal tool-result history; this hook may recall candidate skills, but must not reinject loaded skill bodies through prompt extras every turn.
-- If compression hides an explicitly loaded skill body, this hook may reattach the missing visible revision as a bounded normal tool-result history message.
 
 ## Work Guidance
 

extensions/python/message_loop_prompts_after/_65_include_loaded_skills.py

@@ -1,95 +1,38 @@
 from helpers.extension import Extension
-from helpers import skills, tokens
+from helpers import skills
 from tools.skills_tool import DATA_NAME_LOADED_SKILLS
 from agent import LoopData
 
 
-SKILL_REATTACHMENT_TOKEN_BUDGET = 12_000
-SKILL_REATTACHMENT_HEADER = (
-    "Reattached loaded skill instructions after history compaction."
-)
-
-
 class IncludeLoadedSkills(Extension):
     async def execute(self, loop_data: LoopData = LoopData(), **kwargs):
         if not self.agent:
             return
 
-        loop_data.extras_persistent.pop("loaded_skills", None)
+        extras = loop_data.extras_persistent
+
+        # Get loaded skills names
         skill_names = self.agent.data.get(DATA_NAME_LOADED_SKILLS)
         if not skill_names:
             return
 
-        # `skills_tool load` now appends full skill instructions as a normal
-        # tool-result history message. Keep this legacy ledger pruned, but do
-        # not reinject loaded skills through prompt extras every turn.
+        # load skill text here
+        content = ""
         visible_skill_names = []
-        loaded_skills = []
         for skill_name in skill_names:
-            skill = skills.find_skill(skill_name, agent=self.agent)
-            if not skill:
+            if not skills.find_skill(skill_name, agent=self.agent):
                 continue
-            visible_skill_names.append(skill.name)
-            loaded_skills.append(skill)
+            visible_skill_names.append(skill_name)
+            skill_data = skills.load_skill_for_agent(skill_name=skill_name, agent=self.agent)
+            content += "\n\n" + skill_data
         self.agent.data[DATA_NAME_LOADED_SKILLS] = visible_skill_names
-
-        self._reattach_missing_skill_bodies(loop_data, loaded_skills)
-
-    def _reattach_missing_skill_bodies(self, loop_data: LoopData, loaded_skills):
-        if not self.agent or not loaded_skills:
+        content = content.strip()
+        if not content:
             return
 
-        visible_revisions = _visible_skill_revisions(loop_data.history_output)
-        selected = []
-        used_tokens = 0
 
-        for skill in reversed(loaded_skills):
-            skill_data = skills.load_skill_for_agent(
-                skill_name=skill.name,
-                agent=self.agent,
-            )
-            revision = skills.skill_revision(skill_data)
-            if (skill.name, revision) in visible_revisions:
-                continue
-
-            message = f"{SKILL_REATTACHMENT_HEADER}\n\n{skill_data}"
-            message_tokens = tokens.approximate_tokens(message)
-            if used_tokens + message_tokens > SKILL_REATTACHMENT_TOKEN_BUDGET:
-                continue
-
-            selected.append((skill, revision, message))
-            used_tokens += message_tokens
-
-        for skill, revision, message in reversed(selected):
-            history_message = self.agent.hist_add_tool_result(
-                "skills_tool",
-                message,
-                skill_instructions={
-                    "name": skill.name,
-                    "path": str(skill.path),
-                    "revision": revision,
-                    "source": "skills_tool:reattach",
-                    "content_included": True,
-                },
-            )
-            loop_data.history_output.extend(history_message.output())
-
-
-def _visible_skill_revisions(history_output) -> set[tuple[str, str]]:
-    visible = set()
-    for message in history_output or []:
-        if not isinstance(message, dict):
-            continue
-        content = message.get("content")
-        if not isinstance(content, dict):
-            continue
-        meta = content.get("skill_instructions")
-        if not isinstance(meta, dict):
-            continue
-        if not meta.get("content_included"):
-            continue
-        name = str(meta.get("name") or "").strip()
-        revision = str(meta.get("revision") or "").strip()
-        if name and revision:
-            visible.add((name, revision))
-    return visible
+        # Inject into extras
+        extras["loaded_skills"] = self.agent.read_prompt(
+            "agent.system.skills.loaded.md",
+            skills=content,
+        )

helpers/skills.py

@@ -1,6 +1,5 @@
 from __future__ import annotations
 
-import hashlib
 import os
 import re
 from dataclasses import dataclass, field
@@ -452,10 +451,6 @@ def load_skill_for_agent(
     return "\n".join(lines)
 
 
-def skill_revision(skill_data: str) -> str:
-    return hashlib.sha256(skill_data.encode("utf-8")).hexdigest()[:16]
-
-
 def _get_skill_files(skill_dir: Path) -> str:
     """Get file tree for skill directory."""
     if not skill_dir.exists():

helpers/skills.py.dox.md

@@ -30,7 +30,6 @@
 - `delete_skill(skill_path: str) -> None`: Delete a skill directory.
 - `find_skill(skill_name: str, agent: Agent | None=..., include_content: bool=..., include_hidden: bool=...) -> Optional[Skill]`
 - `load_skill_for_agent(skill_name: str, agent: Agent | None=...) -> str`: Load skill and format it as a complete string for agent context.
-- `skill_revision(skill_data: str) -> str`
 - `_get_skill_files(skill_dir: Path) -> str`: Get file tree for skill directory.
 - `search_skills(query: str, limit: int=..., agent: Agent | None=..., include_hidden: bool=...) -> List[Skill]`
 - `validate_skill(skill: Skill) -> List[str]`
@@ -53,11 +52,11 @@
 - Helper modules own reusable framework APIs and must preserve public callers unless all callers, tests, and docs are updated together.
 - Update this file whenever public functions, classes, persistence behavior, path/security assumptions, side effects, or cross-module contracts change.
 - Observed side-effect areas: filesystem reads, filesystem deletion, plugin state, settings/state persistence, secret handling.
-- Imported dependency areas include: `__future__`, `dataclasses`, `hashlib`, `helpers`, `os`, `pathlib`, `re`, `typing`.
+- Imported dependency areas include: `__future__`, `dataclasses`, `helpers`, `os`, `pathlib`, `re`, `typing`.
 
 ## Key Concepts
 
-- Important called helpers/classes observed in the source: `dataclass`, `re.compile`, `field`, `Path`, `root.rglob`, `results.sort`, `re.sub`, `path.read_text`, `text.splitlines`, `join.strip`, `parse_frontmatter`, `frontmatter_text.splitlines`, `_parse_frontmatter_fallback`, `split_frontmatter`, `str.strip`, `_coerce_list`, `Skill`, `get_skill_roots`, `_filter_hidden_skills`, `files.get_abs_path`, `hashlib.sha256`.
+- Important called helpers/classes observed in the source: `dataclass`, `re.compile`, `field`, `Path`, `root.rglob`, `results.sort`, `re.sub`, `path.read_text`, `text.splitlines`, `join.strip`, `parse_frontmatter`, `frontmatter_text.splitlines`, `_parse_frontmatter_fallback`, `split_frontmatter`, `str.strip`, `_coerce_list`, `Skill`, `get_skill_roots`, `_filter_hidden_skills`, `files.get_abs_path`.
 - Keep request/response, tool, or helper semantics documented here at the same time as source changes.
 
 ## Work Guidance

plugins/_chat_compaction/AGENTS.md

@@ -18,7 +18,6 @@
 - Preserve chat history integrity and persistence after compaction.
 - Keep generated summaries bounded by configured model and token limits.
 - Do not discard original context data unless the compaction flow explicitly owns that behavior.
-- Preserve loaded skill name/revision metadata in summaries without copying full skill bodies.
 
 ## Work Guidance
 

plugins/_chat_compaction/prompts/compact.sys.md

@@ -6,7 +6,6 @@ Rules:
 - Use terse bullet points, not prose
 - Collapse related items into single lines
 - Keep exact values: file paths, config values, code identifiers, credentials, URLs
-- Preserve loaded skill names and revisions from skill_instructions metadata, but do not copy full skill bodies
 - Omit anything that can be re-derived from context
 - Group by topic, not chronology
 - No meta-commentary about the summarization

prompts/AGENTS.md

@@ -18,7 +18,6 @@
 - Keep placeholder names, include aliases, and template assumptions synchronized with prompt-loading code and extensions.
 - Prompt changes can alter agent behavior; keep edits narrow and intentional.
 - Maintain clear separation between core behavior prompts and profile/plugin-specific customization.
-- Framework summary prompts must preserve loaded skill name/revision metadata without copying full skill bodies.
 
 ## Work Guidance
 

prompts/agent.system.tool.skills.md

@@ -5,7 +5,7 @@ common args: action skill_name query file_path
 workflow:
 - action `search`: find candidate skills by keywords or trigger phrases from the current task
 - action `list`: discover available skills
-- action `load`: append one skill's full instructions to chat history by `skill_name`
+- action `load`: load one skill by `skill_name`
 - action `read_file`: open one file inside a loaded skill directory
 if the user says "find/search a skill", call `search` before `load` even when the likely skill name seems obvious
 `read_file` requires both `skill_name` and `file_path`; load the skill first, then read `SKILL.md` or the named relative file

prompts/fw.bulk_summary.sys.md

@@ -7,8 +7,7 @@ You must return a single summary of all records
 # Expected output
 Your output will be a text of the summary
 Length of the text should be one paragraph, approximately 100 words
-If a tool result includes skill_instructions metadata, preserve the loaded skill name and revision in the summary, but do not copy the full skill body
 No intro
 No conclusion
 No formatting
-Only the summary text is returned
+Only the summary text is returned

prompts/fw.topic_summary.sys.md

@@ -8,8 +8,7 @@ You must return a single summary of all records
 Your output will be a text of the summary
 Summary must be shorter than original messages
 Length of the text should be maximum one paragraph, approximately 100 words, shorter if original is shorter
-If a tool result includes skill_instructions metadata, preserve the loaded skill name and revision in the summary, but do not copy the full skill body
 No intro
 No conclusion
 No formatting
-Only the summary text is returned
+Only the summary text is returned

tests/test_tool_action_contracts.py

@@ -38,7 +38,6 @@ class _FakeAgent:
     def __init__(self) -> None:
         self.data = {}
         self.context = types.SimpleNamespace(id="ctx")
-        self.history = types.SimpleNamespace(output=lambda: [])
 
     def read_prompt(self, _name: str, **kwargs) -> str:
         return f"deleted {kwargs.get('memory_count', 0)}"
@@ -75,10 +74,6 @@ def _load_skills_tool(monkeypatch, skill_root: Path):
     skills_stub.list_skills = lambda *args, **kwargs: [fake_skill]
     skills_stub.search_skills = lambda *args, **kwargs: [fake_skill]
     skills_stub.find_skill = lambda *args, **kwargs: fake_skill
-    skills_stub.load_skill_for_agent = (
-        lambda *args, **kwargs: "Skill: browser-form-workflows\n\nInstructions:\nUse labels before typing."
-    )
-    skills_stub.skill_revision = lambda skill_data: "rev1"
     monkeypatch.setitem(sys.modules, "helpers.skills", skills_stub)
 
     print_style_stub = types.ModuleType("helpers.print_style")
@@ -91,65 +86,6 @@ def _load_skills_tool(monkeypatch, skill_root: Path):
     return importlib.import_module("tools.skills_tool")
 
 
-class _FakeExtension:
-    def __init__(self, agent=None):
-        self.agent = agent
-
-
-class _FakeLoadedSkillAgent:
-    def __init__(self) -> None:
-        self.data = {"loaded_skills": ["browser-form-workflows"]}
-        self.added_tool_results = []
-
-    def hist_add_tool_result(self, tool_name: str, tool_result: str, **kwargs):
-        content = {"tool_name": tool_name, "tool_result": tool_result, **kwargs}
-        self.added_tool_results.append(content)
-        return types.SimpleNamespace(
-            output=lambda: [{"ai": False, "content": content}]
-        )
-
-
-def _load_loaded_skills_extension(monkeypatch, skill_root: Path):
-    extension_stub = types.ModuleType("helpers.extension")
-    extension_stub.Extension = _FakeExtension
-    monkeypatch.setitem(sys.modules, "helpers.extension", extension_stub)
-
-    agent_stub = types.ModuleType("agent")
-    agent_stub.LoopData = lambda **kwargs: types.SimpleNamespace(**kwargs)
-    monkeypatch.setitem(sys.modules, "agent", agent_stub)
-
-    skills_stub = types.ModuleType("helpers.skills")
-    fake_skill = _FakeSkill(
-        name="browser-form-workflows",
-        description="Use for complex browser forms.",
-        path=skill_root,
-        tags=[],
-    )
-    skills_stub.find_skill = lambda *args, **kwargs: fake_skill
-    skills_stub.load_skill_for_agent = (
-        lambda *args, **kwargs: "Skill: browser-form-workflows\n\nInstructions:\nUse labels before typing."
-    )
-    skills_stub.skill_revision = lambda skill_data: "rev1"
-    monkeypatch.setitem(sys.modules, "helpers.skills", skills_stub)
-
-    tokens_stub = types.ModuleType("helpers.tokens")
-    tokens_stub.approximate_tokens = lambda text: len(str(text).split())
-    monkeypatch.setitem(sys.modules, "helpers.tokens", tokens_stub)
-
-    import helpers
-
-    monkeypatch.setattr(helpers, "skills", skills_stub, raising=False)
-    monkeypatch.setattr(helpers, "tokens", tokens_stub, raising=False)
-
-    skills_tool_stub = types.ModuleType("tools.skills_tool")
-    skills_tool_stub.DATA_NAME_LOADED_SKILLS = "loaded_skills"
-    monkeypatch.setitem(sys.modules, "tools.skills_tool", skills_tool_stub)
-
-    module_name = "extensions.python.message_loop_prompts_after._65_include_loaded_skills"
-    sys.modules.pop(module_name, None)
-    return importlib.import_module(module_name)
-
-
 def _load_computer_use_remote_tool(monkeypatch):
     _install_tool_stub(monkeypatch)
 
@@ -210,162 +146,6 @@ def test_skills_tool_accepts_action_alias_for_search(monkeypatch, tmp_path: Path
     assert "browser-form-workflows" in response.message
 
 
-def test_skills_tool_load_appends_skill_instructions_as_tool_result(
-    monkeypatch, tmp_path: Path
-):
-    module = _load_skills_tool(monkeypatch, tmp_path)
-    agent = _FakeAgent()
-    tool = module.SkillsTool(
-        agent,
-        "skills_tool",
-        None,
-        {"action": "load", "skill_name": "browser-form-workflows"},
-        "",
-        None,
-    )
-
-    response = asyncio.run(tool.execute(**tool.args))
-
-    assert "Skill: browser-form-workflows" in response.message
-    assert response.additional["skill_instructions"]["name"] == "browser-form-workflows"
-    assert response.additional["skill_instructions"]["content_included"] is True
-    assert agent.data["loaded_skills"] == ["browser-form-workflows"]
-
-
-def test_skills_tool_load_omits_duplicate_visible_skill_revision(
-    monkeypatch, tmp_path: Path
-):
-    module = _load_skills_tool(monkeypatch, tmp_path)
-    agent = _FakeAgent()
-    tool = module.SkillsTool(
-        agent,
-        "skills_tool",
-        None,
-        {"action": "load", "skill_name": "browser-form-workflows"},
-        "",
-        None,
-    )
-    first = asyncio.run(tool.execute(**tool.args))
-    loaded_message = {
-        "ai": False,
-        "content": {"skill_instructions": first.additional["skill_instructions"]},
-    }
-    agent.history = types.SimpleNamespace(output=lambda: [loaded_message])
-
-    second = asyncio.run(tool.execute(**tool.args))
-
-    assert "already loaded in visible chat history" in second.message
-    assert "Instructions:\nUse labels before typing." not in second.message
-    assert second.additional["skill_instructions"]["content_included"] is False
-    assert second.additional["skill_instructions"]["already_loaded"] is True
-    assert agent.data["loaded_skills"] == ["browser-form-workflows"]
-
-
-def test_skills_tool_load_reloads_when_prior_skill_is_not_model_visible(
-    monkeypatch, tmp_path: Path
-):
-    module = _load_skills_tool(monkeypatch, tmp_path)
-    agent = _FakeAgent()
-    tool = module.SkillsTool(
-        agent,
-        "skills_tool",
-        None,
-        {"action": "load", "skill_name": "browser-form-workflows"},
-        "",
-        None,
-    )
-    first = asyncio.run(tool.execute(**tool.args))
-    hidden_message = types.SimpleNamespace(
-        summary="",
-        content={"skill_instructions": first.additional["skill_instructions"]},
-    )
-    agent.history = types.SimpleNamespace(
-        all_messages=lambda: [hidden_message],
-        output=lambda: [
-            {
-                "ai": False,
-                "content": "Earlier history was summarized and no skill body is visible.",
-            }
-        ],
-    )
-
-    second = asyncio.run(tool.execute(**tool.args))
-
-    assert "Skill: browser-form-workflows" in second.message
-    assert second.additional["skill_instructions"]["content_included"] is True
-
-
-def test_loaded_skills_extension_reattaches_missing_body_after_compaction(
-    monkeypatch, tmp_path: Path
-):
-    module = _load_loaded_skills_extension(monkeypatch, tmp_path)
-    agent = _FakeLoadedSkillAgent()
-    loop_data = types.SimpleNamespace(
-        extras_persistent={"loaded_skills": "legacy"},
-        history_output=[
-            {
-                "ai": False,
-                "content": "Earlier history was summarized and no skill body is visible.",
-            }
-        ],
-    )
-
-    asyncio.run(module.IncludeLoadedSkills(agent).execute(loop_data))
-
-    assert "loaded_skills" not in loop_data.extras_persistent
-    assert len(agent.added_tool_results) == 1
-    added = agent.added_tool_results[0]
-    assert added["tool_name"] == "skills_tool"
-    assert "Skill: browser-form-workflows" in added["tool_result"]
-    assert added["skill_instructions"] == {
-        "name": "browser-form-workflows",
-        "path": str(tmp_path),
-        "revision": "rev1",
-        "source": "skills_tool:reattach",
-        "content_included": True,
-    }
-    assert loop_data.history_output[-1]["content"] == added
-
-
-def test_loaded_skills_extension_does_not_reattach_visible_revision(
-    monkeypatch, tmp_path: Path
-):
-    module = _load_loaded_skills_extension(monkeypatch, tmp_path)
-    agent = _FakeLoadedSkillAgent()
-    loop_data = types.SimpleNamespace(
-        extras_persistent={},
-        history_output=[
-            {
-                "ai": False,
-                "content": {
-                    "skill_instructions": {
-                        "name": "browser-form-workflows",
-                        "revision": "rev1",
-                        "content_included": True,
-                    }
-                },
-            }
-        ],
-    )
-
-    asyncio.run(module.IncludeLoadedSkills(agent).execute(loop_data))
-
-    assert agent.added_tool_results == []
-
-
-def test_loaded_skills_extension_keeps_reattachments_under_budget(
-    monkeypatch, tmp_path: Path
-):
-    module = _load_loaded_skills_extension(monkeypatch, tmp_path)
-    monkeypatch.setattr(module, "SKILL_REATTACHMENT_TOKEN_BUDGET", 1)
-    agent = _FakeLoadedSkillAgent()
-    loop_data = types.SimpleNamespace(extras_persistent={}, history_output=[])
-
-    asyncio.run(module.IncludeLoadedSkills(agent).execute(loop_data))
-
-    assert agent.added_tool_results == []
-
-
 def test_skills_tool_read_file_action_reads_inside_skill_dir(
     monkeypatch, tmp_path: Path
 ):

tools/skills_tool.py

@@ -111,7 +111,7 @@ class SkillsTool(Tool):
                 skill_name = self._normalize_skill_name(
                     str(kwargs.get("skill_name") or self.args.get("skill_name") or "")
                 )
-                return self._load(skill_name)
+                return Response(message=self._load(skill_name), break_loop=False)
             if action == "read_file":
                 skill_name = self._normalize_skill_name(
                     str(kwargs.get("skill_name") or self.args.get("skill_name") or "")
@@ -185,14 +185,11 @@ class SkillsTool(Tool):
         )
         return "\n".join(lines)
 
-    def _load(self, skill_name: str) -> Response:
+    def _load(self, skill_name: str) -> str:
         skill_name = self._normalize_skill_name(skill_name)
 
         if not skill_name:
-            return Response(
-                message="Error: 'skill_name' is required for action=load.",
-                break_loop=False,
-            )
+            return "Error: 'skill_name' is required for action=load."
 
         # Verify skill exists
         skill = skills_helper.find_skill(
@@ -201,29 +198,9 @@ class SkillsTool(Tool):
             agent=self.agent,
         )
         if not skill:
-            return Response(
-                message=(
-                    f"Error: skill not found: {skill_name!r}. "
-                    "Try skills_tool action=list or action=search."
-                ),
-                break_loop=False,
-            )
+            return f"Error: skill not found: {skill_name!r}. Try skills_tool action=list or action=search."
 
-        skill_data = skills_helper.load_skill_for_agent(
-            skill_name=skill.name,
-            agent=self.agent,
-        )
-        revision = skills_helper.skill_revision(skill_data)
-        metadata = {
-            "name": skill.name,
-            "path": str(skill.path),
-            "revision": revision,
-            "source": "skills_tool:load",
-            "content_included": True,
-        }
-
-        # Keep the old ledger for UI/backwards compatibility. The skill body now
-        # lives in normal tool-result history, not in per-turn prompt extras.
+        # Store skill name for fresh loading each turn
         if not self.agent.data.get(DATA_NAME_LOADED_SKILLS):
             self.agent.data[DATA_NAME_LOADED_SKILLS] = []
         loaded = self.agent.data[DATA_NAME_LOADED_SKILLS]
@@ -232,48 +209,7 @@ class SkillsTool(Tool):
         loaded.append(skill.name)
         self.agent.data[DATA_NAME_LOADED_SKILLS] = loaded[-max_loaded_skills():]
 
-        if self._visible_skill_revision_loaded(skill.name, revision):
-            return Response(
-                message=(
-                    f"Skill '{skill.name}' is already loaded in visible "
-                    "chat history for this revision."
-                ),
-                break_loop=False,
-                additional={
-                    "skill_instructions": {
-                        **metadata,
-                        "content_included": False,
-                        "already_loaded": True,
-                    }
-                },
-            )
-
-        return Response(
-            message=skill_data,
-            break_loop=False,
-            additional={"skill_instructions": metadata},
-        )
-
-    def _visible_skill_revision_loaded(self, skill_name: str, revision: str) -> bool:
-        history_obj = getattr(self.agent, "history", None)
-        output = getattr(history_obj, "output", None)
-        if not callable(output):
-            return False
-
-        for message in output():
-            if not isinstance(message, dict):
-                continue
-            content = message.get("content")
-            if not isinstance(content, dict):
-                continue
-            meta = content.get("skill_instructions")
-            if not isinstance(meta, dict):
-                continue
-            if not meta.get("content_included"):
-                continue
-            if meta.get("name") == skill_name and meta.get("revision") == revision:
-                return True
-        return False
+        return f"Loaded skill '{skill.name}' into EXTRAS."
 
     def _read_file(self, skill_name: str, file_path: str) -> str:
         if not skill_name:

tools/skills_tool.py.dox.md

@@ -25,15 +25,12 @@
 - Update this file whenever tool arguments, output shape, `break_loop` behavior, intervention handling, prompt instructions, or side effects change.
 - `SkillsTool` is a `Tool`.
 - `SkillsTool` defines `execute(...)`.
-- `load` returns the full formatted skill instructions as the tool result so the instructions are appended once through normal message history instead of being reinjected through prompt extras.
-- `load` includes a `skill_instructions` metadata sidecar in the tool-result content with skill name, path, revision, source, and whether full content was included.
-- Duplicate `load` calls may omit the full body only when the same skill revision is still present in model-visible `history.output()` content.
-- Observed side-effect areas: filesystem reads, filesystem deletion, settings/state persistence, chat history content.
+- Observed side-effect areas: filesystem reads, filesystem deletion, settings/state persistence.
 - Imported dependency areas include: `__future__`, `helpers`, `helpers.print_style`, `helpers.tool`, `pathlib`, `typing`.
 
 ## Key Concepts
 
-- Important called helpers/classes observed in the source: `str.strip.lower.replace`, `skill_name.strip`, `super.get_log_object`, `self._normalize_skill_name`, `self.get_log_object`, `skills_helper.list_skills`, `join`, `skills_helper.search_skills`, `skills_helper.find_skill`, `skills_helper.load_skill_for_agent`, `skills_helper.skill_revision`, `skill.path.resolve`, `Path`, `resolved.read_text`, `skill_name.startswith`, `skill_name.endswith`, `self._current_action`, `self.agent.context.log.log`, `Response`, `strip`, `loaded.remove`, `target.is_absolute`.
+- Important called helpers/classes observed in the source: `str.strip.lower.replace`, `skill_name.strip`, `super.get_log_object`, `self._normalize_skill_name`, `self.get_log_object`, `skills_helper.list_skills`, `join`, `skills_helper.search_skills`, `skills_helper.find_skill`, `skill.path.resolve`, `Path`, `resolved.read_text`, `skill_name.startswith`, `skill_name.endswith`, `self._current_action`, `self.agent.context.log.log`, `Response`, `strip`, `loaded.remove`, `target.is_absolute`.
 - Keep request/response, tool, or helper semantics documented here at the same time as source changes.
 
 ## Work Guidance