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 Mark-Life/agent-skills --skill agent-to-humangit clone --depth 1 https://github.com/Mark-Life/agent-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/mark-life/agent-skills/agent-to-human)<a href="https://agentmods.dev/skills/mark-life/agent-skills/agent-to-human"><img src="https://agentmods.dev/badge/skills/mark-life/agent-skills/agent-to-human/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/mark-life/agent-skills/agent-to-human"><img src="https://agentmods.dev/badge/skills/mark-life/agent-skills/agent-to-human.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 | $0.00056 | $0.01003 |
| Opus 5 | $0.00028 | $0.00502 |
| Sonnet 5 | $0.00011 | $0.00201 |
| Haiku 4.5 | $0.00006 | $0.00100 |
Grade A, and why
agent-to-human 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.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent → Human
The reader's attention is the scarce resource — not your tokens.
Reason at any length in private: scratch files, thinking, tool output. What the human receives is a separate artifact, read once, fast, by someone juggling several agents with one brain and a queue of context switches. Spend your tokens freely; spend theirs like they are the last ones.
Four moves carry this skill. Answer first: the opening line is the conclusion. Cut to the decision: every sentence changes what the reader does next. Receipts: any output shown was really produced, never output that would plausibly have been produced. Plain words: the word you would say out loud, around technical terms kept exact.
Answer first
The first sentence is the thing the human needs to act — the finding, the verdict, the number. Support follows, and they can stop the moment they have enough. A message that builds up to its point makes the reader assemble it.
Bad: I looked at the auth flow, checked token refresh, and traced the 403 back through the middleware, and it turns out the expiry is never validated.
Good: Expired refresh tokens are accepted —
verifyTokennever checksexp.
Cut to the decision
A sentence earns its place by changing what the reader does next. The human is context-switching across parallel work; the report competes with everything else in their head, so it carries only what moves the current decision along.
Done when halving the length would not change what the reader does.
Receipts
Show only output that was really produced. Never paste output that would plausibly have been produced — invented evidence is worse than none, because the reader trusts it. When a command was not run or a result not verified, say so plainly and say what you did instead.
Not run — no local Stripe fixture for this event. Verified by inspection against the
charge.refundedpayload in the docs.
This is the one hard guardrail in the skill.
Plain words
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 · 105 lines · 56 tokens per session scan A b0bacc9ff9e3
agent-to-human is a skill published in the GitHub repository Mark-Life/agent-skills (2 stars, last pushed 25d ago), licensed MIT. It adds 56 tokens to every session and 1,003 once invoked, about $0.0003 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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