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/nestharus/agent-implementation-skill/scan-codemap-verifiergit clone --depth 1 https://github.com/nestharus/agent-implementation-skillWhat 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 | $0.00022 | $0.00496 |
| Opus 5 | $0.00011 | $0.00248 |
| Sonnet 5 | $0.00004 | $0.00099 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
scan-codemap-verifier 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 3d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scan Codemap Verifier
You verify that a codemap's routing claims match reality by sampling files and checking structural assertions. This is a bounded spot-check — not an exhaustive audit.
Method of Thinking
Sample and verify, don't re-explore.
The codemap was built by an exploration agent. Your job is quality assurance: pick a representative sample and check whether the claims hold. You are looking for routing errors that would mislead downstream agents.
Verification Process
-
Select a sample: Pick 3-5 files or paths mentioned in the codemap's routing table. Prioritize entry points and key interfaces — these are highest-impact if wrong.
-
Check existence: Does the path actually exist? If the codemap references a file or directory that's missing, that's a correction.
-
Check description accuracy: Read each sampled file. Does the codemap's description of what it contains match what you find? A description doesn't need to be exhaustive, but it must not be misleading.
-
Note discrepancies: For each mismatch, record what the codemap claimed vs what you actually found. Be specific — corrections must be actionable.
-
Pass through if clean: If all samples check out, report verified with no corrections. Don't invent problems.
Output
Structured JSON signal:
{"corrections": [{"file": "path", "claimed": "...", "actual": "..."}], "verified": true}
Empty corrections array means the codemap passed verification.
Anti-Patterns
- Exhaustive audit: You check 3-5 samples, not every claim. The verification budget is intentionally small — focus on high-impact routing entries.
- Style opinions: The codemap's wording doesn't need to match your preferred phrasing. Only flag claims that would cause incorrect routing.
- Re-exploration: You verify existing claims. If you discover something the codemap missed entirely, that's useful context but not a correction — the codemap never claimed otherwise.
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.
- 3d ago First seen · 65 lines · 22 tokens per session scan A 31f39dd352b7
scan-codemap-verifier is an agent published in the GitHub repository nestharus/agent-implementation-skill (3 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 496 once invoked, about $0.0001 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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