github
Skill2 starsChanged 7 months agoMITView on GitHub
Unified GitHub operations + repo research skill for OpenClaw using token-first API access, read-first/write-gated workflow, and cited deep-research reporting.
- Reads credentials
166 other projects use a version of this.
Adopted by
Most recently taken up by
- Moriarty33/jb-kaizentheir own version, first seen Nov 8, 2026
- GradScalerTeam/claude_clitheir own version, first seen Nov 8, 2026
- artivilla/agent-skillstheir own version, first seen Nov 8, 2026
- DmacMcgreg/psibottheir own version, first seen Nov 8, 2026
- ashleysbrain/skillstheir own version, first seen Nov 8, 2026
- sidmanale643/pekka-bottheir own version, first seen Nov 8, 2026
Used with
Projects with it also use taskflow-inbox-triage, BlueBubbles and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
AtomicBot-aiSkilltaskflow-inbox-triage
Also in 6 projects that use this
jiulingyunSkillBlueBubbles
为Clawdbot构建或更新BlueBubbles外部通道插件(扩展包,REST发送/探测,webhook入站)。
Also in 20 projects that use this
hkyutongSkillnode-connect
Diagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps. Use when QR/setup code/manual connect fails, local Wi-Fi works but VPS/tailnet does not, or errors mention pairing required, unauthorized, bootstrap token invalid or expired, gateway.bind, gateway.remote.url, Tailscale, or plugins.entries.device-pair.config.publicUrl.
Also in 18 projects that use this
molt-botSkilldiscord-e2e
Test Discord with Convex-leased QA bots: check credentials without a Gateway, exercise owned messages, or prove OpenClaw replies, files, threads, reactions, streaming, and typing. Distinguish API and Gateway evidence from manual user interactions.
Also in 10 projects that use this
molt-botSkillopenclaw-repair-sweep
Run scoped OpenClaw issue/PR repair campaigns: coordinate workers, prove root causes, and land or close verified work under the requested authority.
Also in 10 projects that use this
clawdbotSkillopenclaw-performance
Performance work in OpenClaw: a slow or heavy flow (latency, CPU, memory, SQL, RPC, renders), writing or reviewing a perf PR, or adding a cache. Count the work, delete waste first, cache last.
Also in 7 projects that use this
- +2 more from molt-bot
Other versions166 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 166
- moltbot/clawdbot★ 394ksame name
- steipete/warelay★ 394ksame name
- steipete/clawdis★ 394ksame name
- moltbot/moltbot★ 394ksame name
- clawdbot/clawdbot★ 394ksame name
- openclaw/openclaw★ 394ksame name
- molt-bot/clawdbot★ 391ksame name
- NousResearch/hermes-agent★ 262ksame name
- spinabot/brigade★ 11ksame name
- the-open-agent/openagent★ 5.7ksame name
156 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository47 other files it gives its agents.
- brainstormingSkill
- claude-code-termux-runbookSkill
- cli-patcherSkill
- code-review-workflowSkill
- commit-commandsSkill
- consulting-analysisSkill
- context7-cleanSkill
- data-analysisSkill
- deep-researchSkill
- edit-tool-compat-guardSkill
- env-managerSkill
- executing-plansSkill
- feature-devSkill
- firecrawlSkill
- frontend-designSkill
- gateway-device-pairingSkill
- glibc-prebuilt-bundleSkill
- gogSkill
- image-generationSkill
- memory-setupSkill
- module-auditorSkill
- module-scaffoldSkill
- openclaw-config-guardianSkill
- openclaw-ollama-runtime-kbSkill
- plugin-cutover-guardianSkill
- plugin-runtime-guardianSkill
- python-env-managerSkill
- self-improving-agentSkill
- simplify-and-hardenSkill
- skill-benchSkill
- skill-creatorSkill
- skill-unificationSkill
- skill-vetterSkill
- socratic-groundingSkill
- subagent-orchestrationSkill
- systematic-debuggingSkill
- tailscale-oauth-bridgeSkill
- termux-packagerSkill
- termux-runnerSkill
- test-driven-developmentSkill
- vercel-deploy-claimableSkill
- verification-before-completionSkill
- video-generationSkill
- workspace-cleanupSkill
- writing-plansSkill
- yt-dlp-ingest-firstSkill
- zero-downtime-cutoverSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 151 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 25
Read GitHub data: issue/PR/discussion/release/repository metadata.
- Distinctive: line 42
Read operations: default enabled
- Distinctive: line 59
Run GitHub-native read phase via token-auth GitHub API, collect evidence links/IDs.
- Very specific: line 60
Only if token-auth is unavailable or fails, classify the failure cause explicitly and then choose the narrowest fallback (gh CLI, then …
“Common” is measured: kept by at least 6 in 10 of the 151 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
github
Indexed Reference Map
- @[SKILL.md#L1-L81] Frontmatter + unified operations/research model
- @[references/INDEX.md#L1-L12] Reading order
- @[references/QUICK_REFERENCE.md#L1-L16] Decision map + permission gates
- @[references/CORE_API.md#L1-L40] Inputs/outputs, research rounds, and auth contract
- @[references/PATTERNS.md#L1-L30] Execution patterns
- @[references/EXAMPLES.md#L1-L17] Sample flows
- @[references/AI_WORKFLOW.md#L1-L9] AI execution sequence
- @[references/RESEARCH_REPORT_TEMPLATE.md#L1-L89] Structured cited report shape
Scope
- In-scope:
- Read GitHub data: issue/PR/discussion/release/repository metadata.
- Prepare write payload (comment/create/update) with approval checkpoint.
- Conduct deep repo research: timeline, architecture, maintenance, adoption, competitor/context scan, and cited report synthesis.
- Rate-limit aware workflows and evidence-based reporting.
- Out-of-scope:
- Perform a write action without explicit user approval.
- Expose token or log secrets.
- Claim comprehensive coverage when the scope was actually narrow.
Reading Order
references/QUICK_REFERENCE.mdreferences/CORE_API.mdreferences/PATTERNS.mdreferences/EXAMPLES.mdreferences/AI_WORKFLOW.md
Coverage Matrix
- Read operations: default enabled
- Write operations: gated
- Auth/token hygiene: mandatory
- Rate-limit handling: mandatory
Trigger Rules
- Positive:
- Used when users need to look up or manipulate issues/PR/releases on GitHub.
- Used when users ask for deep research, timeline reconstruction, architecture review, maintenance/adoption analysis, or evidence-backed investigation of a GitHub repository/project.
- Negative: Not used for repo operations outside GitHub scope.
- Escalation: All action
write(comment/create/edit/merge/close) must ask for approval before running.
SOP
- Determine the lane:
- operations lane (
read/prepare-write/write) - research lane (deep repo investigation / cited report)
- operations lane (
- Resolve auth path first: use authenticated GitHub API with
GITHUB_TOKEN(fallbackGH_TOKEN) as the default path for all GitHub work. - Run GitHub-native read phase via token-auth GitHub API, collect evidence links/IDs.
- Only if token-auth is unavailable or fails, classify the failure cause explicitly and then choose the narrowest fallback (
ghCLI, then public web if still needed). - If operations lane:
- for
read, return the evidence-backed result directly; - for
prepare-write, draft payload + preview; - for
write, request approval before executing, then verify artifacts.
- for
- If research lane:
- expand from GitHub-native evidence into broader
web_search/web_fetchonly where it adds value; - reconstruct timeline / architecture / maintenance / adoption / risks;
- synthesize into a structured cited report.
- expand from GitHub-native evidence into broader
- Returns summary + artifacts (URL/ID/status), including which auth path was used and whether the output is ops-mode or research-mode.
Error Handling
- Missing token/permission: clearly indicates missing scope (
repo,issues:write, ...). - 403/404: check repo visibility and token role.
- 429/rate-limit: comply with
Retry-After, reduce burst. - Research evidence conflict: cite both claims, lower confidence, and do not compress into a decisive conclusion.
- README/docs fetch blocked but GitHub API works: continue with GitHub-native evidence first and mark missing documentation fetch as a confidence limiter, not as proof the repo is broken.
Output Contract
- Operations lane artifact:
github_resultincludes action, target, status, urls, and auth_path. - Research lane artifact: a structured cited markdown report with executive summary, timeline, analysis sections, sources, confidence assessment, and auth_path/source-path notes when relevant.
- Validation: has evidence URL/ID for every substantive claim; research claims should distinguish GitHub-native evidence from broader web corroboration.
- Compliance Verdict: PASS when complying with token-first, read-first, and write-gated policy while staying explicit about uncertainty.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
Reviews can't be read right now.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

