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 cacheplane/dawnai --skill synthesize-findingsgit clone --depth 1 https://github.com/cacheplane/dawnaiWrote 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/cacheplane/dawnai/synthesize-findings)<a href="https://agentmods.dev/skills/cacheplane/dawnai/synthesize-findings"><img src="https://agentmods.dev/badge/skills/cacheplane/dawnai/synthesize-findings/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/cacheplane/dawnai/synthesize-findings"><img src="https://agentmods.dev/badge/skills/cacheplane/dawnai/synthesize-findings.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 | $0.00012 | $0.00113 |
| Opus 5.5 | $0.00005 | $0.00045 |
| Sonnet 5.5 | $0.00002 | $0.00023 |
| Haiku 4.5 | $0.00001 | $0.00011 |
Grade A, and why
synthesize-findings 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
Synthesize findings
After the researcher subagents return, combine their answers into a single report:
- Open with a two-sentence direct answer to the user's question.
- Group supporting points by sub-question, each ending with its citation.
- Drop duplicate points; when sources disagree, note the disagreement.
- End with a short "Sources" list of every cited document path.
Write the report to reports/<slug>.md with writeFile.
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 · 16 lines · 12 tokens per session scan A 66301f64f154
synthesize-findings is a skill published in the GitHub repository cacheplane/dawnai (327 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 113 once invoked, about $0.0000 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 2026-08-30.
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