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 megamen32/LastHumanCommit --skill feature-implementationgit clone --depth 1 https://github.com/megamen32/LastHumanCommitWrote 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/megamen32/lasthumancommit/feature-implementation)<a href="https://agentmods.dev/skills/megamen32/lasthumancommit/feature-implementation"><img src="https://agentmods.dev/badge/skills/megamen32/lasthumancommit/feature-implementation/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/megamen32/lasthumancommit/feature-implementation"><img src="https://agentmods.dev/badge/skills/megamen32/lasthumancommit/feature-implementation.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 | $0.00040 | $0.00264 |
| Opus 5.5 | $0.00016 | $0.00106 |
| Sonnet 5.5 | $0.00008 | $0.00053 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
feature-implementation 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
Feature Implementation
For new assignments, load worker-code; it supersedes this compact alias with
reusable research-map and rg guidance.
Use when one coherent vertical feature contribution is cheaper to delegate than to execute directly.
Procedure
- Confirm the accepted outcome, actual production path, allowed scope, and shortest acceptance check.
- Reuse the existing mechanism and implement the thinnest usable vertical.
- Run the real canary early, then fix only the first claim-blocking failure.
- Add only proportional direct-regression evidence.
- At each 20-minute checkpoint report business delta and remain available for continuation or redirection.
- Ask Lead at every context-dependent decision boundary with evidence, recommendation/default, parallel-safe work, and the exact blocked action; continue safe work through a non-blocking parent transport when available.
Do not
- Do not implement horizontal completeness before the first usable path.
- Do not redesign architecture or add unrelated hardening.
- Do not treat local compilation as final product proof.
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 · 32 lines · 40 tokens per session scan A 697c0ab0657b
feature-implementation is a skill published in the GitHub repository megamen32/LastHumanCommit (2 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 264 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 2026-08-31.
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