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 raoulstongea/open-jobsite --skill daily-loggit clone --depth 1 https://github.com/raoulstongea/open-jobsiteWrote 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/raoulstongea/open-jobsite/daily-log)<a href="https://agentmods.dev/skills/raoulstongea/open-jobsite/daily-log"><img src="https://agentmods.dev/badge/skills/raoulstongea/open-jobsite/daily-log/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/raoulstongea/open-jobsite/daily-log"><img src="https://agentmods.dev/badge/skills/raoulstongea/open-jobsite/daily-log.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 | $0.00209 |
| Opus 5 | $0.00009 | $0.00105 |
| Sonnet 5 | $0.00003 | $0.00042 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
daily-log 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 11d 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
Daily Log
Use this workflow only after the user identifies the project and work date.
- Separate observed facts from interpretations. Ask for missing work date, worker identifiers/roles/hours, and the source of each material fact.
- Create the project if it does not exist.
- Record each source with
record_site_evidence. Default publication status toprivate; usesyntheticonly when the user confirms it is synthetic. - Call
draft_daily_logwith ISO date, factual summary, worker array, and the evidence IDs. Put unresolved claims in assumptions or exclusions. - Present the draft, total labor hours, evidence links, assumptions, and gaps.
- Stop for human review. Do not send the log, alter a timesheet, or claim approval.
Prefer role-based synthetic worker identifiers in demos; do not expose tenant or employee personal information.
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.
- 11d ago First seen · 22 lines · 17 tokens per session scan A ef1934e63284
daily-log is a skill published in the GitHub repository raoulstongea/open-jobsite (0 stars, last pushed 15d ago), licensed Apache-2.0. It adds 17 tokens to every session and 209 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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