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 tmusser/context-to-action-skills --skill reduce-to-factsgit clone --depth 1 https://github.com/tmusser/context-to-action-skillsWrote 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/tmusser/context-to-action-skills/reduce-to-facts)<a href="https://agentmods.dev/skills/tmusser/context-to-action-skills/reduce-to-facts"><img src="https://agentmods.dev/badge/skills/tmusser/context-to-action-skills/reduce-to-facts/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/tmusser/context-to-action-skills/reduce-to-facts"><img src="https://agentmods.dev/badge/skills/tmusser/context-to-action-skills/reduce-to-facts.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 | $0.00121 | $0.01896 |
| Opus 5 | $0.00060 | $0.00948 |
| Sonnet 5 | $0.00024 | $0.00379 |
| Haiku 4.5 | $0.00012 | $0.00190 |
Grade A, and why
reduce-to-facts 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
reduce-to-facts
Purpose
Turn dense workplace source material into a fact ledger the user can trust before moving to a reply, decision, or action.
When to use
Use this when the context is too long, ambiguous, stakeholder-sensitive, high-stakes, contradictory, or too important to act on safely from a normal summary.
When not to use
Do not use this for simple short threads where brief-me, clear-ask, or follow-up-draft can act directly.
Output size rule
Default to a compact ledger with only the sections needed for the source.
Use the full ledger only when the source is dense, high-stakes, contradictory, or the user explicitly asks for a full fact ledger.
- Omit empty optional sections for compact outputs.
- For dense or high-stakes sources, include all major sections.
- Use "None surfaced in the reviewed source" only when that absence is itself useful.
For short inputs, include:
- Source scope
- Atomic facts
- Open questions
- Action-relevant implications
- Suggested next skill
Portable Output Contract
- Use only the useful subset of source-backed facts, assumptions, source gaps, stakeholder sensitivities, potential misreads, and the suggested next action.
- Use the smallest useful output.
- Label assumptions and preserve source gaps, source anchors, and confidence labels.
- Do not promote an assumption, inference, open question, proposed action, or stakeholder position into a fact, decision, commitment, owner, or deadline without new source support.
- Keep unresolved approvals, owners, timing, and blockers explicit.
- Do not send, publish, update tickets, create events, or mutate systems unless explicitly asked.
Source Mode
Default to source-only mode.
Switch to source-expanded mode only when the user explicitly asks to verify, fact-check, expand sources, support claims, refute claims, or use outside sources.
Source-Only Mode
- Use only the supplied source material.
- Do not verify externally.
- Do not treat supplied material as true by default.
- Separate directly stated claims from implied, assumed, or unsupported claims.
- Use source anchors from the supplied material.
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.
- 12d ago First seen · 258 lines · 121 tokens per session scan A 3251b2dee8c4
reduce-to-facts is a skill published in the GitHub repository tmusser/context-to-action-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 121 tokens to every session and 1,896 once invoked, about $0.0006 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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