Agent skill

Openclaw Repair Sweep

by openclaw in openclaw/openclaw

Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority.

MITAuto-check passedDevelopment

Install Openclaw Repair Sweep

skills CLI
$ npx skills add openclaw/openclaw --skill openclaw-repair-sweep -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install openclaw/openclaw openclaw-repair-sweep --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/openclaw-repair-sweep .claude/skills/openclaw-repair-sweep && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
openclaw-repair-sweep
GitHub stars
392k
Token cost
~1.8k tokens
SKILL.md length
956 words
Files
2
Skills in repo
97
Repo updated
First seen
Licence
MIT

At a glance

Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority.

  • Works in 5 steps: Prove the original behavior is already… → Finish and verify an existing useful… → If that PR cannot safely be updated,… → …
  • Tasks that involve Root cause analysis
  • SKILL.md covers Scope and authority, Coordinate ownership, Investigate and repair and Proof and landing, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Openclaw Repair Sweep is an agent skill from openclaw/openclaw. Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Development, covering Root cause analysis. The repository describes itself as: The AI that really does things. Any OS. Any Platform. The lobster way. 🦞. The licence is MIT.

When your agent uses it

  • Tasks that involve Root cause analysis

Example prompts

  • “/openclaw-repair-sweep”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Prove the original behavior is already fixed on current main and close under
  2. Finish and verify an existing useful editable PR, preserving human credit.
  3. If that PR cannot safely be updated, create a credited replacement before
  4. Implement a new high-confidence repair when no suitable fix exists.
  5. Record a concrete blocker or product/owner decision. A useful independent

What it can do on your machine

Read from SKILL.md and the folder at commit 5843d60. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Openclaw Repair Sweep loads about 1.8k tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 956 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from openclaw/openclaw at commit 5843d60, republished under its MIT licence (© openclaw). 956 words, ~1,775 tokens.

Download SKILL.mdSave it as .claude/skills/openclaw-repair-sweep/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
openclaw-repair-sweep
description
Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority.

OpenClaw Repair Sweep

Use for a multi-item repair campaign. Root AGENTS.md owns repair and safety policy; $openclaw-pr-maintainer owns item review, GitHub writes, and landing. The lead remains hands-on and delegates independent work where useful.

Scope and authority

  • Explicit refs imply a bounded ref campaign. Otherwise discovery defaults to five qualified items (maximum twenty per batch); a whole-queue request means continuing through that queue. Do not pad low-confidence findings.
  • Honor requested workers and focus. Ref/discovery campaigns normally use up to eight item owners; a queue campaign can assign up to sixty-four, but actual active proof workers must fit host/remote capacity. Start small and scale on observed resource health; assigned is not the same as running.
  • An explicit autonomous fix-and-land/sweep invocation covers scoped investigation, repairs, commits, pushes, PRs, verified landings and proven closures. Review, triage, or list wording stays read-only; fix-only stops before publication. Never infer release, schema/config/protocol, credential, security, or product approval from campaign authority.

Use $gitcrawl for available archive discovery, $openclaw-testing for proof, $autoreview for independent code review, and $crabbox when the proof requires remote environment or untrusted-source isolation. Author-history research is conditional on a concrete question, not a campaign prerequisite.

Coordinate ownership

Assign each item or shared root-cause cluster one owner, a checkout, frozen source SHA, authorized actions, and a useful stopping condition. Duplicate symptoms share an owner; repeated defect classes should be repaired in the canonical owner rather than by parallel near-identical patches.

Use isolated issue/PR worktrees and preserve unrelated files. Serialize shared fetch/ref/branch/worktree operations, PR preparation, and merges in short slots; never hold the slot across coding, tests, or a remote wait. Each remote lease has one owner and one active command. Pause only campaign-owned work under resource pressure, and preserve patches, claims, proof, and checkpoints before replacement. The lead may take over stalled work safely; it is not an orchestration-only role.

Read root and scoped guides before acting. Each verdict-bearing worker inspects its relevant dependency contracts directly, including the root's personal Codex source requirement. The lead verifies consequential results, not just summaries. Use independent challenge for nontrivial repairs and closure evidence; one independent autoreview is enough for the code-review requirement.

Investigate and repair

Search existing work before creating another fix: current body/comments, related archive results, live state when it matters, and current source/history. Use bare PATH gh with narrow JSON fields; reuse shared evidence and avoid unnecessary pagination or repeated item fetches.

Prefer, in order:

  1. Prove the original behavior is already fixed on current main and close under the authorized scope with the canonical fix and evidence.
  2. Finish and verify an existing useful editable PR, preserving human credit.
  3. If that PR cannot safely be updated, create a credited replacement before closing it. Do not squash a contributor PR after replacing its ancestry.
  4. Implement a new high-confidence repair when no suitable fix exists.
  5. Record a concrete blocker or product/owner decision. A useful independent simplification may land under its own scope, but it does not close the bug.

A candidate needs a demonstrated current defect, an understood owner and bounded impact, relevant dependency proof, and feasible validation. Repairs requiring new dependencies/configuration, public-contract changes, security, persistence design, or product judgment require their root approvals before implementation or landing as applicable. Preserve useful investigation; do not work around the gate or count review-required work as an accepted fix.

Repair the invariant at its owner, cover relevant siblings, and remove connected obsolete paths when justified. Do not add speculative fallback layers or hardcode the reported example. Prefer simplicity without a LOC quota. Keep release-note context and credit in the PR; CHANGELOG.md remains release-owned. Do not force a second refactor PR after each completed item.

Show full SKILL.md (348 more words)Show less

Proof and landing

Choose proportional proof through $openclaw-testing. Trusted development can run locally; remote compute needs an environment or isolation reason. Untrusted repository tooling never runs locally or on a credential-hydrated host. Preserve explicit live requirements and never describe a mock, skipped test, old head, or unfinished soak as live proof.

Run $autoreview on the completed nontrivial candidate and resolve verified findings. Re-review substantive changes or unresolved concerns; do not multiply reviews for mechanical head movement. Address actionable human/bot findings without a separate Rank-up checklist or score-refresh gate.

Land through the native maintainer workflow only with current required CI and review evidence. Verify remote merge state and ancestry before counting success. A timed-out merge request may have succeeded; reconcile it before retrying. Refresh/rebase for conflicts, failed guards, explicit requests, or material stale base risk, not merely because main advanced. Delete only owned temporary state.

For broad campaigns, a shared-main failure may justify one separately scoped repair worker. Check for an existing fix first. Do not duplicate that repair in every PR or silently expand a bounded ref request to unrelated CI work.

Closure and reporting

Before closing, prove the reporter's primary outcome and affected surfaces are fixed, not merely mitigated or diagnosed. Check fix ancestry and containing tags when version claims matter; dates do not prove inclusion. Seek independent challenge for uncertain or consequential closure evidence. Disagreement, a still broken surface, or an owner hold means leave open. Product rejection is a maintainer decision, never an automatic cleanup conclusion.

Recheck live state before mutation and explain the fixed behavior, canonical commit/PR, known containing version, and useful proof. If a closure is challenged, pause the affected closure work and correct the evidence before resuming. No more than three workers should hold simultaneous closure duty; more than fifty close/reopen actions require the root's explicit count/scope approval.

Keep a resumable ledger of owner, source/head, outcome, proof/CI state, PR/merge, credit, blockers, and cleanup. Count verified outcomes, not planned or launched work. Report meaningful progress and each verified landing with links; summarize final behavior, proof, remaining limitations, and checkout state in natural prose.

© openclaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/openclaw-repair-sweep of openclaw/openclaw.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 5843d60

Compare with similar skills

Openclaw Repair Sweep next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Openclaw Repair Sweep compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Openclaw Repair Sweep this skillopenclaw/openclaw392k—~1.8kAutomated safety check: PassMIT
OpenLogi macOS Permissions TriageAprilNEA/OpenLogi23k—~2.5kAutomated safety check: NotesApache-2.0
Bug Finder for daisyUIsaadeghi/daisyui43k—~2.3kAutomated safety check: PassMIT
Root Cause Debugginggarrytan/gstack136k—~1.4kAutomated safety check: PassMIT
Review PRapache/shardingsphere21k—~6.5kAutomated safety check: PassApache-2.0
Graph-Based Bug Tracingtirth8205/code-review-graph32k1 repos~287Automated safety check: PassMIT

Similar skills

  • Decides whether an OpenLogi device problem on macOS is a privacy-permission (TCC) problem, using agent log lines, and says which identity needs which grant.

    23k GitHub stars~2.5k tokensUpdated today
    DevelopmentAuto-check: notes
  • Bug Finder for daisyUI

    saadeghi/daisyui

    Investigates suspected bugs in the daisyUI monorepo through read-only analysis, then writes a decision-ready fix plan in tmp/bugs without changing any product code.

    43k GitHub stars~2.3k tokensUpdated 2 days ago
    DevelopmentAuto-check passed
  • Root Cause Debugging

    garrytan/gstack

    Investigates bugs, errors and stack traces in phases and requires a root-cause hypothesis to be confirmed before any fix is written.

    136k GitHub stars~1.4k tokensUpdated today
    DevelopmentAuto-check passed
  • Review PR

    apache/shardingsphere

    Review Apache ShardingSphere or user-authorized downstream pull requests and PR discussions from public or authorized repository evidence.

    21k GitHub stars~6.5k tokensUpdated today
    DevelopmentAuto-check passed
  • Graph-Based Bug Tracing

    tirth8205/code-review-graph

    Traces a bug through a code knowledge graph, following callers, callees and execution flow before opening source files, within a small token budget.

    32k GitHub starsUsed in 1 repo~287 tokens
    DevelopmentAuto-check passed
  • Om Auto Fix Issue

    go-musicfox/go-musicfox

    Fix or implement a tracker issue end to end from a single command — takes an issue id or a plain problem description (filed first via om-prepare-issue), classifies, then drives the bug autofix chain…

    2.6k GitHub starsUsed in 1 repo~5k tokens
    DevelopmentAuto-check: notes

More from openclaw/openclaw

All 97 skills in this repo
  • Model Usage

    openclaw/openclaw

    Summarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns.

    392k GitHub starsUsed in 1 repo~637 tokens
    Auto-check passed
  • Openclaw Live Updater

    openclaw/openclaw

    Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation.

    392k GitHub stars~3.7k tokensUpdated today
    Auto-check passed
  • Feishu Doc

    openclaw/openclaw

    Feishu document read/write workflows. An agent skill from openclaw/openclaw.

    392k GitHub stars~516 tokensUpdated today
    Auto-check passed
  • Tmux

    openclaw/openclaw

    Control tmux sessions/panes for interactive CLIs: list, capture output, send keys, paste text, monitor prompts.

    392k GitHub starsUsed in 1 repo~640 tokens
    Auto-check passed
  • Openclaw PR Maintainer

    openclaw/openclaw

    Review, triage, repair, or land OpenClaw issues and pull requests with current-source evidence and the native maintainer workflow.

    392k GitHub stars~2.3k tokensUpdated today
    Auto-check passed
  • Browser Automation

    openclaw/openclaw

    A skill your agent uses when controlling web pages with the OpenClaw browser tool, especially multi-step flows, login checks, tab management, or recovery from stale refs/timeouts.

    392k GitHub stars~2.9k tokensUpdated today
    Auto-check passed

Categories

Questions about Openclaw Repair Sweep

What does Openclaw Repair Sweep do?

Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority. Openclaw Repair Sweep is an agent skill from openclaw/openclaw. Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority.

When should I use Openclaw Repair Sweep?

Openclaw Repair Sweep fits situations like: tasks that involve Root cause analysis.

How do I install Openclaw Repair Sweep in Claude Code?

Run `npx skills add openclaw/openclaw --skill openclaw-repair-sweep -a claude-code`. Or copy the skill folder (.agents/skills/openclaw-repair-sweep in openclaw/openclaw) into .claude/skills/openclaw-repair-sweep in your project. Claude Code loads it when a task matches its description.

How do I install Openclaw Repair Sweep in Codex?

Run `npx skills add openclaw/openclaw --skill openclaw-repair-sweep -a codex`. Or copy the skill folder (.agents/skills/openclaw-repair-sweep in openclaw/openclaw) into .agents/skills/openclaw-repair-sweep in your project. Codex loads it when a task matches its description.

Can I use Openclaw Repair Sweep in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openclaw/openclaw --skill openclaw-repair-sweep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openclaw-repair-sweep, .gemini/skills/openclaw-repair-sweep, .github/skills/openclaw-repair-sweep and .opencode/skills/openclaw-repair-sweep in your project.

What does Openclaw Repair Sweep need to run?

SKILL.md names no scripts, command-line tools or credentials: Openclaw Repair Sweep is instructions for the agent only.

Does Openclaw Repair Sweep access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Openclaw Repair Sweep safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Openclaw Repair Sweep use?

Openclaw Repair Sweep is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Openclaw Repair Sweep use?

About 1.8k tokens (SKILL.md is roughly 7.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Openclaw Repair Sweep?

Skills that share tags, products or a category with Openclaw Repair Sweep: OpenLogi macOS Permissions Triage (AprilNEA/OpenLogi, 23k stars), Bug Finder for daisyUI (saadeghi/daisyui, 43k stars), Root Cause Debugging (garrytan/gstack, 136k stars) and Review PR (apache/shardingsphere, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openclaw Repair Sweep?

openclaw (a GitHub organization) maintains it in openclaw/openclaw, which has 391,658 GitHub stars. The repository holds 97 skills in this directory. The repository was last updated on October 11, 2026.

Source: openclaw/openclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.