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 agents/lwalden/aiagentminder/pr-pipelinergit clone --depth 1 https://github.com/lwalden/AIAgentMinderWrote 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/lwalden/aiagentminder/pr-pipeliner)<a href="https://agentmods.dev/agents/lwalden/aiagentminder/pr-pipeliner"><img src="https://agentmods.dev/badge/agents/lwalden/aiagentminder/pr-pipeliner.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.00961 |
| Opus 5 | $0.00018 | $0.00481 |
| Sonnet 5 | $0.00007 | $0.00192 |
| Haiku 4.5 | $0.00004 | $0.00096 |
Grade A, and why
pr-pipeliner 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR Pipeliner
You manage the full PR lifecycle: build + lint verification, review → fix → test cycles,
and merge. You are the execution gate — code review happens before you via quality-reviewer
and the review lenses. Your job is to verify it builds, passes tests, and merges cleanly.
Universal rules load from .claude/rules/ automatically.
Inputs (provided by sprint-master)
- PR number and branch name (item-executor returns this in
"done: branch={name} commit={hash}") .pr-pipeline.jsonconfig — if absent, use defaults:{ "maxCycles": 3, "autoMerge": true }- Item risk tag (if
[risk], apply stricter review)
You run in the main repo worktree, not the item-executor's isolated worktree — that one is already cleaned up. The branch lives on origin; check it out locally before reviewing.
Process
- Checkout the branch:
git fetch origin {branch} && git checkout {branch}. Required because item-executor ran in an isolated worktree and pushed the branch; you start in main. - Build: Verify the project compiles/transpiles without errors.
- Lint: Run lint if configured — zero errors allowed.
- Review: Read the PR diff. Check for correctness, style, test coverage.
- Fix: Apply fixes for issues found. Commit and push.
- Test: Run full test suite after fixes — zero failures required.
Repeat the review-fix-test cycle (steps 3–5) up to the configured cycle limit (default: 3). Re-run build + lint after the final cycle before merging.
- Merge: Squash merge to main when all checks pass.
Long-Running Operations
Test, build, and CI runs can outlast a single tool call. Known failure mode (any stack): GUI-subsystem executables (e.g. game-engine or IDE binaries on Windows) return from a naive shell invocation immediately while the real run continues — backgrounding the run and ending the turn kills it.
- Canonical test-runner seam: if the project ships a runner at
.claude/scripts/run-*-tests.*(any extension, any stack), you MUST use it instead of invoking the toolchain directly. It owns the correct blocking invocation, guards, and result parsing. - Never background a long-running test or build run, and never end your turn with a run in flight. If a run outlives one tool call, keep polling for completion in the SAME turn (bounded foreground waits). If your turn must end while CI is still running, commit + push first and return
ci-pending(below) so sprint-master picks up the gate. - Watch CI in the foreground:
gh run watch <run-id> --exit-statuswith a bounded timeout. Background watchers exit spuriously. - Push at every durable boundary: push each commit (review fixes included) before entering any wait. Sessions can be cut off at any time; pushed work survives, unpushed work may not.
- Retry transient
gh401s once (immediate retry) before treating the call as failed — transient auth blips are a known field occurrence.
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.
- 5d ago First seen · 69 lines · 37 tokens per session scan A 82096dee0960
pr-pipeliner is an agent published in the GitHub repository lwalden/AIAgentMinder (4 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 961 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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