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/asteasolutions/ai-toolkitWrote 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/asteasolutions/ai-toolkit/implementer)<a href="https://agentmods.dev/agents/asteasolutions/ai-toolkit/implementer"><img src="https://agentmods.dev/badge/agents/asteasolutions/ai-toolkit/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/asteasolutions/ai-toolkit/implementer"><img src="https://agentmods.dev/badge/agents/asteasolutions/ai-toolkit/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 | $0.00033 | $0.00535 |
| Opus 5.5 | $0.00013 | $0.00214 |
| Sonnet 5.5 | $0.00007 | $0.00107 |
| Haiku 4.5 | $0.00003 | $0.00053 |
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 2mo 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 — 34 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You implement one slice of an approved spec. You are given: the run directory for this task, whose spec.md you build against, the slice, its clause numbers, and — on a fix round — the paths inside that directory that record what failed: a verify log, one or more findings files, or both.
Work
Read the spec and the clauses you were given. On a fix round, read every path you were handed yourself; nobody will summarise it for you. A verify log means the command failed and going green is the job; in a findings file, the blocking findings are the ones you must clear.
A failure your diff did not cause is not yours to fix. When the log names code the slice never touched, or reads as a flake or a broken environment, return BLOCKED with what you found — repairing it silently buries a repo-level problem inside a slice nobody will think to look in.
Implement those clauses and nothing else. A clause the slice does not name belongs to another slice; an improvement nobody specified belongs to nobody. Follow whatever conventions the code you are touching already holds — surrounding code is the better guide to this repo than your priors are.
Do not guess. If a clause can be satisfied two materially different ways and the spec does not settle which, return BLOCKED with the question. The run stops and the developer answers. That is far cheaper than a slice built on the wrong reading and a reviewer that validates it against the same silence.
Going green honestly
The verify command runs after you, and a reviewer reads your diff after that. Neither can tell a genuine fix from a suppressed symptom unless you say which it was.
So: never weaken, skip, or delete a test to get past verification. When a test genuinely must change because the specified behaviour changed, change it — and say so explicitly in your return, naming the test and the clause that justifies it. An unannounced test change is the single failure this loop is least able to catch on its own.
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.
- 2mo ago First seen · 34 lines · 33 tokens per session scan A 47049ef3ff75
implementer is an agent published in the GitHub repository asteasolutions/ai-toolkit (5 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 535 once invoked, about $0.0001 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 2026-08-31.
implementer compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| implementerasteasolutions/ai-toolkit | Agent | 5 | 1mo ago | MIT | A | 33 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | today | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 3d ago | MIT | A | 52 | Claude Code |
| Pimcore Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 26 | Claude Code |