OpenLogi macOS Permissions Triage
AprilNEA/OpenLogi
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.
Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority.
$ npx skills add openclaw/openclaw --skill openclaw-repair-sweep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install openclaw/openclaw openclaw-repair-sweep --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "openclaw-repair-sweep" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-repair-sweep into .claude/skills/openclaw-repair-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-repair-sweep", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-repair-sweepType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add openclaw/openclaw --skill openclaw-repair-sweep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install openclaw/openclaw openclaw-repair-sweep --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/openclaw-repair-sweep .agents/skills/openclaw-repair-sweep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "openclaw-repair-sweep" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-repair-sweep into .agents/skills/openclaw-repair-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-repair-sweep", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openclaw/openclaw --skill openclaw-repair-sweep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install openclaw/openclaw openclaw-repair-sweep --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/openclaw-repair-sweep .cursor/skills/openclaw-repair-sweep && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "openclaw-repair-sweep" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-repair-sweep into .cursor/skills/openclaw-repair-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-repair-sweep", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/openclaw/openclaw.git --path .agents/skills/openclaw-repair-sweep--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add openclaw/openclaw --skill openclaw-repair-sweep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install openclaw/openclaw openclaw-repair-sweep --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/openclaw-repair-sweep .gemini/skills/openclaw-repair-sweep && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "openclaw-repair-sweep" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-repair-sweep into .gemini/skills/openclaw-repair-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-repair-sweep", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install openclaw/openclaw openclaw-repair-sweepInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add openclaw/openclaw --skill openclaw-repair-sweep -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/openclaw-repair-sweep .github/skills/openclaw-repair-sweep && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "openclaw-repair-sweep" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-repair-sweep into .github/skills/openclaw-repair-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-repair-sweep", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add openclaw/openclaw --skill openclaw-repair-sweep -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install openclaw/openclaw openclaw-repair-sweep --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/openclaw/openclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/openclaw-repair-sweep .opencode/skills/openclaw-repair-sweep && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "openclaw-repair-sweep" agent skill from https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-repair-sweep into .opencode/skills/openclaw-repair-sweep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "openclaw-repair-sweep", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
openclaw-repair-sweepRun 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.
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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5843d60. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from openclaw/openclaw at commit 5843d60, republished under its MIT licence (© openclaw). 956 words, ~1,775 tokens.
.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.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.
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.
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.
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:
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.
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.
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
SKILL.md and 1 other file in .agents/skills/openclaw-repair-sweep of openclaw/openclaw.
Open the folder on GitHubat commit 5843d60
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Openclaw Repair Sweep this skillopenclaw/openclaw | 392k | — | ~1.8k | Automated safety check: Pass | MIT | |
| OpenLogi macOS Permissions TriageAprilNEA/OpenLogi | 23k | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | |
| Bug Finder for daisyUIsaadeghi/daisyui | 43k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Root Cause Debugginggarrytan/gstack | 136k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Review PRapache/shardingsphere | 21k | — | ~6.5k | Automated safety check: Pass | Apache-2.0 | |
| Graph-Based Bug Tracingtirth8205/code-review-graph | 32k | 1 repos | ~287 | Automated safety check: Pass | MIT |
AprilNEA/OpenLogi
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.
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.
garrytan/gstack
Investigates bugs, errors and stack traces in phases and requires a root-cause hypothesis to be confirmed before any fix is written.
apache/shardingsphere
Review Apache ShardingSphere or user-authorized downstream pull requests and PR discussions from public or authorized repository evidence.
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.
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…
openclaw/openclaw
Summarize CodexBar local cost logs by model for Codex or Claude, including current or full breakdowns.
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.
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
openclaw/openclaw
Control tmux sessions/panes for interactive CLIs: list, capture output, send keys, paste text, monitor prompts.
openclaw/openclaw
Review, triage, repair, or land OpenClaw issues and pull requests with current-source evidence and the native maintainer workflow.
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.
Categories
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.
Openclaw Repair Sweep fits situations like: tasks that involve Root cause analysis.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Openclaw Repair Sweep is instructions for the agent only.
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.
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.
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.
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.
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.
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.