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 skills add ai-driven-dev/framework --skill 02-implementgit clone --depth 1 https://github.com/ai-driven-dev/frameworkWrote 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/skills/ai-driven-dev/framework/02-implement)<a href="https://agentmods.dev/skills/ai-driven-dev/framework/02-implement"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/02-implement/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/skills/ai-driven-dev/framework/02-implement"><img src="https://agentmods.dev/badge/skills/ai-driven-dev/framework/02-implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.00366 |
| Opus 5.5 | $0.00017 | $0.00146 |
| Sonnet 5.5 | $0.00008 | $0.00073 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
02-implement 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 1mo 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
Skill: implement
Run an existing plan to write its code, one phase at a time, until every acceptance criterion holds.
Actions
| # | Action | Role | Input |
|---|---|---|---|
| 01 | prepare |
Resolve the plan, branch, mark it in-progress | a plan path |
| 02 | execute |
Loop the phases, code and assert each | prepared plan |
| 03 | finalize |
Verify and mark the plan implemented | coded phases |
Run them in order, 01 → 03.
Before running an action, read its file in actions/, not only the table or assets.
Transversal rules
- Status: drive the plan through
pending → in-progress → implemented(orblocked), and each phase throughpending → in-progress → done. Thein-progressvalues are runtime markers; onlydoneandimplementedneed to land in a commit. - Commits: one commit per phase, its code together with the phase reaching
done, plus a final commit for the plan reachingimplemented. Never leave the tree dirty at a phase boundary. Do not scatter separatein-progressstatus commits: one context now owns both code and status, so there is nothing to guard against.
References
references/blocked.md: the conditions that make a planblockedand need a human.
What ships with it
4 files 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.
- 1mo ago First seen · 30 lines · 42 tokens per session scan A ec5b5d9aa589
02-implement is a skill published in the GitHub repository ai-driven-dev/framework (518 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 366 once invoked, about $0.0002 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 2026-09-03.
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