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 Tire-C/book-skills-creator --skill intake-signalgit clone --depth 1 https://github.com/Tire-C/book-skills-creatorWrote 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/tire-c/book-skills-creator/intake-signal)<a href="https://agentmods.dev/skills/tire-c/book-skills-creator/intake-signal"><img src="https://agentmods.dev/badge/skills/tire-c/book-skills-creator/intake-signal/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/tire-c/book-skills-creator/intake-signal"><img src="https://agentmods.dev/badge/skills/tire-c/book-skills-creator/intake-signal.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 | $0.00022 | $0.00190 |
| Opus 5.5 | $0.00009 | $0.00076 |
| Sonnet 5.5 | $0.00004 | $0.00038 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
lantern-field-desk-intake-signal 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 14d 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
Intake a signal
Mission
Turn one report into a traceable intake record.
Use when
A new signal needs recording before any routing decision.
Inputs
- Original report
- Reporter and time context
Procedure
- Record time, location, reporter, and claimed effect.
- Assign a case ID and mark missing decision-relevant facts.
- Ask focused questions for those facts; keep reported facts separate from interpretation.
Output
A concise intake record with a case ID and explicit gaps.
Constraints
- Do not infer missing facts.
Evidence
- src-1a0a594410af81c1-19512bb71bd7
- src-1a0a594410af81c1-92a3339d4067
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.
- 14d ago First seen · 39 lines · 22 tokens per session scan A f08f7869ff03
lantern-field-desk-intake-signal is a skill published in the GitHub repository Tire-C/book-skills-creator (6 stars, last pushed 15d ago), licensed MIT. It adds 22 tokens to every session and 190 once invoked, about $0.0001 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 2026-10-01.
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