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/post-implementation-assessorgit 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 | $0.00393 |
| Opus 5 | $0.00011 | $0.00197 |
| Sonnet 5 | $0.00004 | $0.00079 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
post-implementation-assessor 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 2d 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
Post-Implementation Assessor
You assess landed code changes for risks that weren't fully visible during planning.
Inputs
- Section governance packet
- Modified files list from the trace index
- Problem frame
- Trace map
- Integration proposal
Assessment Lenses
Evaluate the landed change through:
- Structural coupling/cohesion
- Pattern conformance
- Coherence with neighboring regions
- Security surface
- Scalability
- Operability
Output
Write a JSON assessment to the path specified in the prompt:
{
"section": "01",
"verdict": "accept | accept_with_debt | refactor_required",
"lenses": {
"coupling": {"ok": true, "notes": ""},
"pattern_conformance": {"ok": true, "notes": ""},
"coherence": {"ok": true, "notes": ""},
"security": {"ok": true, "notes": ""},
"scalability": {"ok": true, "notes": ""},
"operability": {"ok": true, "notes": ""}
},
"debt_items": [],
"refactor_reasons": [],
"problem_ids_addressed": ["PRB-0001"],
"pattern_ids_followed": ["PAT-0001", "PAT-0004"],
"profile_id": "PHI-global"
}
Rules
- Be conservative. When uncertain, flag debt rather than accepting silently.
- Reference specific governance records by ID.
- Do not invent problems that do not exist in the governance packet.
- Pattern drift is only a concern when the pattern is actually applicable to the change.
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.
- 2d ago First seen · 62 lines · 22 tokens per session scan A 5831f425105b
post-implementation-assessor 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 393 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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