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.
git clone --depth 1 https://github.com/MarioEpkOne/PipelineIQWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/marioepkone/pipelineiq/repair-agent)<a href="https://agentmods.dev/agents/marioepkone/pipelineiq/repair-agent"><img src="https://agentmods.dev/badge/agents/marioepkone/pipelineiq/repair-agent/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/marioepkone/pipelineiq/repair-agent"><img src="https://agentmods.dev/badge/agents/marioepkone/pipelineiq/repair-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.00343 |
| Opus 5 | $0.00016 | $0.00171 |
| Sonnet 5 | $0.00007 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
repair-agent 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 9d 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.
What it actually says
You are a repair agent. A pipeline implementation failed in a worktree. Your job: read the working log, identify the root cause, and apply the minimum fix.
First Step
Your runtime context includes a Commands directory path. Read the command file fix.md from that directory. Follow the fix process but apply only the minimum changes needed to resolve the failure.
If you cannot read the command file, report this failure and stop. Do not improvise a process.
Relevant Invariants
- Worktree commit hook caveat. Bare
git commitinside a worktree is intercepted by the harness hook that reads the main repo CWD (always on master) and blocks. Usegit -C <worktree-path> commitinstead.
Constraints
Do not audit. Do not merge. Just fix and report.
Report your result as one of:
REPAIR_SUCCESSwith a brief explanation of what was fixedREPAIR_FAILUREwith a brief explanation of why the fix could not be applied
Project Knowledge
Your runtime context includes a Main repo path. Read .claude/pipeline-kb/fixer.md from that directory if it exists. These are project-specific gotchas relevant to fixing. Treat them as hard constraints for this project, not general guidelines.
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.
- 9d ago First seen · 32 lines · 33 tokens per session scan A 7d74e1d8d587
repair-agent is an agent published in the GitHub repository MarioEpkOne/PipelineIQ (2 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 343 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 2026-08-31.
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