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 frenzymath/Danus --skill synthesize-verification-reportgit clone --depth 1 https://github.com/frenzymath/DanusWrote 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/frenzymath/danus/synthesize-verification-report)<a href="https://agentmods.dev/skills/frenzymath/danus/synthesize-verification-report"><img src="https://agentmods.dev/badge/skills/frenzymath/danus/synthesize-verification-report/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/frenzymath/danus/synthesize-verification-report"><img src="https://agentmods.dev/badge/skills/frenzymath/danus/synthesize-verification-report.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 | $0.00032 | $0.00598 |
| Opus 5 | $0.00016 | $0.00299 |
| Sonnet 5 | $0.00006 | $0.00120 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
synthesize-verification-report 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 10d 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 — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synthesize Verification Report
Produce the final verification output JSON and verdict.
Input Contract
Aggregate all findings you produced earlier in this verification session — the
per-item records from the sequential check and the reference check, held in
context. Each issue must include location and issue.
Procedure
- Collect all critical errors and all gaps from previous checks.
- Build a complete
verification_reportobject with:summarycritical_errorsgaps
- Apply strict verdict rule:
correctiffcritical_errors=[]andgaps=[].- otherwise
wrong.
- If verdict is
wrong, produce concrete non-emptyrepair_hints. - Self-check the JSON against its schema before emitting — do this by reasoning, not by calling a tool:
verdictis exactly"correct"or"wrong",repair_hintsis non-empty iffverdict == "wrong"(empty string when"correct"),- every entry of
critical_errorsandgapshas bothlocationandissue, - the verdict is consistent with the rule in step 3 (any critical error or gap forces
"wrong"). If the self-check fails, correct the object before continuing.
- Write the final JSON to the run's result file and emit it as your final message.
The verify service injects the absolute path for this run — write to
results/{run_id}/verification.jsonunder the service-provided run directory ({run_id}is theRun_idgiven to you). The verify service reads this file back and returns it verbatim as the HTTP/verifyresponse; you invoke no MCP tool to persist it. Stop only after the file is written and the same JSON is your final message.
Output Contract
Final output JSON:
{
"verification_report": {
"summary": "string",
"critical_errors": [],
"gaps": []
},
"verdict": "correct",
"repair_hints": ""
}
If there is any error or gap, verdict must be "wrong" and repair_hints must be non-empty.
Tools
- None — you build, self-check, and write the report by reasoning. The final JSON
is written to
results/{run_id}/verification.json; the verify service returns it as the/verifyresponse.
What ships with it
1 file 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.
- 10d ago First seen · 67 lines · 32 tokens per session scan A d917e6fa14b3
synthesize-verification-report is a skill published in the GitHub repository frenzymath/Danus (418 stars, last pushed 14d ago), licensed Apache-2.0. It adds 32 tokens to every session and 598 once invoked, about $0.0002 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 2026-08-30.
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