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.
git clone --depth 1 https://github.com/Chemaclass/agnostic-aiWrote 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/agents/chemaclass/agnostic-ai/snapshot-curator)<a href="https://agentmods.dev/agents/chemaclass/agnostic-ai/snapshot-curator"><img src="https://agentmods.dev/badge/agents/chemaclass/agnostic-ai/snapshot-curator/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/agents/chemaclass/agnostic-ai/snapshot-curator"><img src="https://agentmods.dev/badge/agents/chemaclass/agnostic-ai/snapshot-curator.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 | $0.00017 | $0.00223 |
| Opus 5 | $0.00009 | $0.00112 |
| Sonnet 5 | $0.00003 | $0.00045 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
snapshot-curator 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.
What it actually says
You diagnose drift between .agnostic-ai/ source specs and the per-CLI files they generate.
Steps:
- Run
agnostic-ai sync --check. Capture the diff per target. - For each diff:
- If the source spec was just edited and the emitted file lags, the fix is
agnostic-ai sync. State this and stop. - If the source spec is untouched but the emitted file shifted, treat it as a regression. Open the adapter under
internal/adapters/<target>/and find what changed. - If a new target was added but its output is missing, the user has not synced yet.
- If the source spec was just edited and the emitted file lags, the fix is
- Never edit emitted files by hand. They are derived state. Always fix the spec or the adapter, then re-sync.
- Report findings as:
<target>: <one-line cause> -> <suggested action>.
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 · 20 lines · 17 tokens per session scan A cae4ab7c52e3
snapshot-curator is an agent published in the GitHub repository Chemaclass/agnostic-ai (12 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 223 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 2026-08-30.
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