plan-recovery

A troubleshooting guide for repairing PlanWeave, a system that runs project plans as linked work blocks. It covers inconsistent execution state, results, artifacts, retries, and review feedback.

In plain words
What is it for?
Use it when PlanWeave reports stale references, orphaned results, blocked or diverged work, partial submissions, or inconsistent review loops.
Why use it?
It helps identify whether a plan is flawed or whether its saved execution data has drifted, so unsafe repairs are avoided.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/gaoscode/planweave/plan-recovery
Any agent
npx skills add GaosCode/PlanWeave --skill plan-recovery
Clone the repo
git clone --depth 1 https://github.com/GaosCode/PlanWeave

Made for: Claude Code, Codex.

Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 954 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00066 $0.00954
Opus 5 $0.00033 $0.00477
Sonnet 5 $0.00013 $0.00191
Haiku 4.5 $0.00007 $0.00095

Measured 3d ago against content hash 6935189ef15d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-recovery scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/plan-recovery/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Recovery

Use this skill for abnormal PlanWeave execution state. Do not perform normal implementation or review work.

Quick Start

  1. Stop dispatching dependent work.
  2. Resolve the CLI entry and run <pw> help recovery for exact commands.
  3. Inspect package, state, results, and current/status/explain output; run doctor only for state/results consistency questions.
  4. Separate plan defects from runtime state/results drift.
  5. Use exact recovery commands for state writes when they express the needed repair; inspect files directly for evidence.
  6. Report what was repaired, what remains unsafe, and the next coordinator action.

Doctor Boundary

  • doctor detects narrow runtime state/results consistency issues such as stale current refs, orphan results, and state/index run drift.
  • doctor --repair is not a general plan repair tool.
  • Do not use doctor to fix bad dependencies, unsafe parallelization, missing prompts, wrong review-gate design, unclear task/block granularity, invalid project graph, or schema-invalid package structure.
  • For plan defects, report NEEDS_PLAN_UPDATE and guide manual edits to the Plan Package, prompts, dependencies, or review gates.

Diagnose First

Check:

  • active current refs and current feedback.
  • block/task status and claim hints.
  • latest run indexes versus state block lastRunId.
  • orphan result artifacts.
  • stale current refs.
  • diverged or blocked refs and reasons.
  • review attempts, feedback status, and re-review state.
  • whether a retry is same-content idempotency or a fresh work revision.

Recovery Actions

  • Use doctor before state/results repair; use repair only when the reported fix is narrow and evidence-backed.
  • Read package/state/results directly when CLI output is incomplete, contradictory, or too summarized for diagnosis.
  • If CLI cannot safely claim/submit, have the coordinator read package/state/results and manually assign exact refs until write-back is safe.
  • Use blocked/unblocked commands for external prerequisites or temporary stops.
  • Use diverged/resolve-divergence when implementation reality no longer matches the Plan Package.
  • For submit partial success, look for persisted report/result artifacts before creating new runs or attempts.
  • For feedback resolved but still current, re-check current/status before submitting anything.
  • For parallel mismatch, compare sequential and parallel claimability before declaring no work.
  • If parallel mismatch comes from package design, adjust dependencies, parallel safety, or review gate placement manually instead of running repair.

Read the full file on GitHub · 85 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 85 lines · 66 tokens per session scan A 6935189ef15d

Subscribe to this mod's changes

plan-recovery is a skill published in the GitHub repository GaosCode/PlanWeave (370 stars, last pushed 5d ago), licensed MIT. It adds 66 tokens to every session and 954 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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