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.
npx agentmods add skills/suyoumo/clawprobench/github-workflownpx skills add suyoumo/ClawProBench --skill github-workflowgit clone --depth 1 https://github.com/suyoumo/ClawProBenchWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00045 | $0.00996 |
| Opus 5 | $0.00023 | $0.00498 |
| Sonnet 5 | $0.00009 | $0.00199 |
| Haiku 4.5 | $0.00005 | $0.00100 |
Grade A, and why
github-workflow 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Workflow Automation
Install and maintain a complete issue-to-merge workflow for any GitHub repository. Maps GitHub webhook events and cron schedules into automated missions for planning, implementation, review, CI fixing, staging validation, and post-merge learning.
Workflow
- Gather project parameters from
projects/<owner>-<repo>/project.mdor ask the user. - Verify runtime prerequisites.
- Install or update mission set from templates.
- Run a dry test with
event_emit. - Monitor outcomes and tune prompts/filters.
Parameters
Read these from the project file in workspace, or collect from the user:
repository:owner/repo(required)maintainers: GitHub handles allowed to trigger implement/replan actionsstaging_branch: defaultstaging(or null if no staging workflow)main_branch: defaultmainbatch_interval_hours: default8
Prerequisites
Before installing missions, verify:
- GitHub skill authenticated (for issue/PR/comment/status operations).
- GitHub webhook delivery configured to
POST /webhook/tools/github. - Webhook HMAC secret configured in the secrets store as
github_webhook_secret. - Events can also be emitted via
event_emittool for testing.
Install Procedure
- Open
workflow-routines.md. - For each template block:
- Replace placeholders (
{{repository}},{{maintainers}}, branch names) - Namespace mission names with the repo slug (e.g.
wf-issue-plan-nearai-ironclaw) - Call
mission_createwithname,goal(the prompt), andcadence(cron expression orevent:<pattern>)
- Replace placeholders (
- If a mission already exists (check
mission_list), update rather than duplicate. - If
staging_branchis null, skipwf-staging-batch-review. - Write installation status to
projects/<owner>-<repo>/project.md. - Confirm install with
mission_list.
Mission Set
Install these missions per repository:
wf-issue-plan-<slug>: onissue.openedorissue.reopened, generate implementation plan comment.wf-maintainer-gate-<slug>: on maintainer comments, decide update-plan vs start implementation.wf-pr-monitor-<slug>: on PR open/sync/review-comment/review, address feedback and refresh branch.wf-ci-fix-<slug>: on CI status/check failures, apply fixes and push updates.wf-staging-review-<slug>: every N hours, review ready PRs, merge into staging, run batch correctness analysis, fix findings, then merge staging to main.wf-learning-<slug>: on merged PRs, extract mistakes/lessons and write to shared memory.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 104 lines · 45 tokens per session scan A 0e730ca5e2ed
github-workflow is a skill published in the GitHub repository suyoumo/ClawProBench (823 stars, last pushed 7d ago), licensed Apache-2.0. It adds 45 tokens to every session and 996 once invoked, about $0.0002 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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