worklog-manager

name	worklog-manager
description	Manage Codex worklog files under `.agents/worklog/codex`, hard-gate stale learnings through `learn_index.md`, and audit learn metadata deterministically. Use when a Codex agent or user needs to bootstrap worklog context, maintain plan/todo/learn files, or validate stale learn state before trusting prior session knowledge.

Worklog Manager

Overview

Use this skill to manage .agents/worklog/codex/** for Codex sessions. It keeps startup context constrained to valid learn entries, maintains plan/todo/learn metadata, and audits stale learn state deterministically.

When To Use

• Bootstrap or update .agents/worklog/codex/{plan,todo,learn} for a non-trivial Codex task.
• Summarize reusable learnings before implementation starts.
• Create, update, supersede, or archive reusable learn files.
• Audit stale learn metadata or index consistency before trusting older session knowledge.

Workflow

1. Keep scope limited to .agents/worklog/codex/**. If the request needs repo edits, GitHub operations, or product decisions, hand that back to the parent agent.
2. Bootstrap from .agents/worklog/codex/learn/learn_index.md.
   • Ensure .agents/worklog/codex/plan/, todo/, and learn/ exist.
   • If learn_index.md does not exist yet, skip the startup audit and continue with empty learn context.
   • If learn_index.md exists, run python3 ~/.agents/skills/worklog-manager/scripts/codex_worklog_audit.py check before reading any learn entry.
   • If the home-path script is unavailable in a repository context, resolve the repository root and run python3 home/dot_config/exact_agents/skills/worklog-manager/scripts/codex_worklog_audit.py check.
   • If check fails, stop startup and report the exact audit failures to the parent. Do not continue with best-effort learn selection.
   • Treat ## Active as the only startup source of truth.
   • Treat ## Needs Review as context candidates, not facts.
   • Ignore ## Superseded and ## Archived unless the parent explicitly asks for history or migration context.
   • Read only the learn files referenced by the relevant index entries.
   • Return the startup summary in this exact order:
     • Active learnings: only active entries with freshness: stable.
     • Needs revalidation: every needs_review entry plus any active entry with freshness: drift_prone.
     • Ignored historical entries: relevant superseded or archived entries that were intentionally skipped.
3. Maintain the session plan and todo continuously while the parent works.
   • Required common keys: type, id, owner, created_at, updated_at.
   • Required plan key: status.
   • Required todo keys: status, workstream, related_plan.
   • Required learn keys: validated, apply_to, status, freshness, last_validated_at.
   • Keep todo.status within active | blocked | done | superseded.
   • Keep plan.status within draft | active | done | superseded.
   • Use these headings for plan files: User Prompt, Goal, Scope, Assumptions, Design, Tests, Open Questions.
   • Use these headings for todo files: TODO, Done.
   • Use these headings for learn files: Date, Learnings, Plan Updates.
4. Manage learn metadata and index state together.
   • status must be one of active | needs_review | superseded | archived.
   • freshness must be one of stable | drift_prone.
   • freshness: drift_prone requires review_after.
   • status: superseded requires superseded_by.
   • Replacement learn files should declare supersedes.
   • learn_index.md must contain exactly these sections: ## Active, ## Needs Review, ## Superseded, ## Archived.
   • Keep each index entry on one line in this format: - [Title](file.md) [stable|drift_prone] — Summary
5. When learn changes affect the active plan, update the plan Assumptions, Design, or Tests sections to match.

Conflict Handling

Use this flow only when a later user direction conflicts with the current session facts. For this workflow, startup facts means only the learn entries listed under the startup summary Active learnings. Needs revalidation, ## Needs Review, and any active learn with freshness: drift_prone are context only and are not startup facts.

The conflict detection scope is limited to:

• startup facts
• current plan Assumptions
• unfinished todo items

When a later user message conflicts with one of those sources:

1. Identify the exact source that is being contradicted.
2. Return CONFLICT_REPORT to the parent.
3. Wait for CONFIRM_OVERRIDE, REJECT_OVERRIDE, or NEEDS_USER_CLARIFICATION.
4. Rewrite session-local plan/todo state only after CONFIRM_OVERRIDE.
5. Do not update persistent learn state at this stage.
6. If you later record this session outcome in a learn file, use Plan Updates to note that it is a corpus migration candidate only after revalidation evidence exists.

The audit validates corpus integrity, not parent confirmation flow.

Use these parent-facing message contracts:

CONFLICT_REPORT
source_type: startup_fact|plan_assumption|todo
source_ref: <learn filename | plan section | todo line>
old_statement: <current assumption>
user_request: <new direction>
rationale: <why this is a direction change instead of a minor refinement>
proposed_session_action: ignore_for_session|rewrite_plan_todo
learn_update: pending_revalidation

CONFIRM_OVERRIDE
source_ref: <same value>
approved_action: rewrite_plan_todo

REJECT_OVERRIDE
source_ref: <same value>
keep_existing_assumption: true

NEEDS_USER_CLARIFICATION
source_ref: <same value>
clarification_question: <short question>

Do not write .agents/worklog/codex/** before confirmation.

After CONFIRM_OVERRIDE, rewrite .agents/worklog/codex/** with these rules:

• User Prompt update: append the user message that changed direction.
• Assumptions note: keep the old assumption, but annotate it with Superseded in this session by user direction on YYYY-MM-DD.
• Design update: add the new direction.
• Open Questions revalidation note: add one line when persistent learn revalidation is still needed.
• TODO rewrite: move unfinished items that depend on the old assumption to # Done, mark the individual line as superseded after the confirmed direction change, do not replace them with the literal line [x] Superseded by confirmed direction change, and add replacement work under # TODO.
• Keep top-level todo.status as active because the session is still in progress.

If the parent responds with REJECT_OVERRIDE, keep plan/todo unchanged and tell the parent existing assumption kept. If the parent responds with NEEDS_USER_CLARIFICATION, keep plan/todo unchanged and wait for the parent's clarification flow.

Learn Promotion Gate

• Do not promote session-local facts, current branch names, current paths, default-branch names, or any repo state that is cheap to re-check right now.
• Only store drift-prone repo state when repeated reuse has justified the cost. When you do, mark it freshness: drift_prone and set an explicit review_after.
• When you encounter legacy branch/default-branch learns, do targeted migration instead of broad corpus rewrites.
  • A fact like default branch is master must not stay active; move it to superseded.
  • A recipe that still assumes origin/master should move to needs_review until it is revalidated against the current main workflow.

Audit

check is mandatory during startup whenever learn_index.md exists. Use summary for manual inspection or for diagnosing a failed startup audit after the failure has already been reported to the parent.

python3 ~/.agents/skills/worklog-manager/scripts/codex_worklog_audit.py check
python3 ~/.agents/skills/worklog-manager/scripts/codex_worklog_audit.py summary

Use --learn-root <path> when you need to audit fixtures or a non-default corpus. Use --now <ISO-8601> when you need deterministic review expiry checks in tests.

Output

• Keep responses concise.
• When the parent asks for a close-out summary, return a one-line candidate that starts with 📝 まとめ:.

References

• Read learn_rules.md when you need exact frontmatter examples, index examples, or the audit contract.

Resources

scripts/

• scripts/codex_worklog_audit.py: deterministic audit helper for learn metadata, review expiry, supersession links, and index/file consistency.

references/

• references/learn_rules.md: detailed learn metadata rules, targeted migration examples, and audit expectations.