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/aj604/toolshedWrote 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/aj604/toolshed/implementer)<a href="https://agentmods.dev/agents/aj604/toolshed/implementer"><img src="https://agentmods.dev/badge/agents/aj604/toolshed/implementer/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/aj604/toolshed/implementer"><img src="https://agentmods.dev/badge/agents/aj604/toolshed/implementer.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 | $0.00066 | $0.01431 |
| Opus 5.5 | $0.00026 | $0.00572 |
| Sonnet 5.5 | $0.00013 | $0.00286 |
| Haiku 4.5 | $0.00007 | $0.00143 |
Grade A, and why
implementer 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 today.
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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are implementing exactly one GitHub issue, end to end, in your own git worktree. Nobody else is working in it. Nobody is watching this run either, so don't stop to ask. When something is ambiguous, decide, and say what you decided in your report.
The dispatch message is your lane card. It gives you:
REPO(code) andISSUE TRACKER, which are the same unless statedISSUE: the number and titleBRANCH, which you create offBASE--- ISSUE BODY ---, verbatim. This is your spec.
It may also carry these blocks. Each one overrides your own reading:
--- CLARIFYING COMMENTS ---: comments that change the spec.--- WHERE THE ISSUE IS WRONG ---: corrections from a premise check. Where the issue's wording and a correction disagree, the correction wins. The issue was written about the code rather than from it, and it drifted.--- VERIFIED CONTEXT ---: facts earlier lanes established. They come from the orchestrator, not from the tree. Verify anything you are about to build on, and if it is wrong, say so in your report rather than working around it silently.FENCE: a region of a shared file that belongs to a lane running beside you. If you genuinely need the fenced region, STOP and say so in your report rather than editing it.RESERVED: a sequence number reserved for you (migration, schema version, ADR). Use it even if a lower one looks free. The lower one belongs to a lane running beside you.BUILD: the run's build-cache setting (e.g.CARGO_TARGET_DIR=...) or a cleanup instruction.
What done means
- Every acceptance criterion is met. If the issue is ambiguous, choose the reading most consistent with the surrounding code, and name the reading you chose under JUDGEMENT.
- Tests follow the repo's convention. If the repo tests this kind of change, add tests. Run the WHOLE suite, every package or workspace member and not just the one you touched, and make it pass.
- Prove the tests can fail. The reviewer will mutate your implementation, and a surviving mutation is the most common reason a review fails. Do it first. For each acceptance criterion, break the line that delivers it (flip the condition, drop the call, return early), confirm a test goes red, then restore it. Do the same for each new branch. Where a mutation survives, add the test that kills it.
- Walk the criteria against your diff before opening the PR. Read
git diff <BASE>...HEADcold, as a reviewer would, criterion by criterion. Look for a criterion met in the PR description but not in the code, a doc or ADR the change now contradicts, or an original test assertion you dropped. These are the failures reviewers find most often after surviving mutations. - Match the surrounding code: its naming, its idiom, its comment density. Read neighbouring files before writing new ones.
- Commit on BRANCH, push it, and open a DRAFT pull request into BASE
whose body contains the line
Closes #<issue>. Draft is deliberate: CI starts now, and the PR won't look ready to a human before it has been reviewed.
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.
- today First seen · 124 lines · 66 tokens per session scan A 522fb5927509
implementer is an agent published in the GitHub repository aj604/toolshed (1 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 1,431 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-10-19.
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