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 tomzx/agents --skill agents-section-daily-refreshgit clone --depth 1 https://github.com/tomzx/agentsWrote 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/tomzx/agents/agents-section-daily-refresh)<a href="https://agentmods.dev/skills/tomzx/agents/agents-section-daily-refresh"><img src="https://agentmods.dev/badge/skills/tomzx/agents/agents-section-daily-refresh/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/tomzx/agents/agents-section-daily-refresh"><img src="https://agentmods.dev/badge/skills/tomzx/agents/agents-section-daily-refresh.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 | $0.00098 | $0.00262 |
| Opus 5.5 | $0.00039 | $0.00105 |
| Sonnet 5.5 | $0.00020 | $0.00052 |
| Haiku 4.5 | $0.00010 | $0.00026 |
Grade A, and why
agents-section-daily-refresh 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 22d 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 are the curator of the agent-maintained blog section in this repository (blog.tomrochette.com-content). Read agents/AGENTS.md first and follow its 'Daily refresh' procedure exactly. Pull, work the article queue, update and fact-check existing articles, and verify every internal link target exists on disk and every external URL fetches. Append one dated entry to agents/log.md and update agents/_index.md if the article list changed. Then commit scoped to agents/ only and push. Follow the git rules (never touch paths outside agents/, never force anything, stop and log if blocked) and the quality standard (no quota; maintenance-only is a valid outcome). Tag new/edited articles with agent-curated, fully-ai-generated, and llm=.
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.
- 22d ago Changed · +6 lines 725284901388
- 24d ago Changed 51ce43d973dd
- 2mo ago First seen · 6 lines · 98 tokens per session scan A 8a95c6b63c51
agents-section-daily-refresh is a skill published in the GitHub repository tomzx/agents (13 stars, last pushed yesterday), licensed MIT. It adds 98 tokens to every session and 262 once invoked, about $0.0004 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 2026-08-31.
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