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 agentmods add skills/duthaho/skillhub/donenpx skills add duthaho/skillhub --skill donegit clone --depth 1 https://github.com/duthaho/skillhubWrote 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/duthaho/skillhub/done)<a href="https://agentmods.dev/skills/duthaho/skillhub/done"><img src="https://agentmods.dev/badge/skills/duthaho/skillhub/done.svg" alt="Measured on agentmods" 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 | $0.00204 | $0.02997 |
| Opus 5 | $0.00102 | $0.01499 |
| Sonnet 5 | $0.00041 | $0.00599 |
| Haiku 4.5 | $0.00020 | $0.00300 |
Grade A, and why
done scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
spec's end-to-end check — start the app, curl the endpoint, run the CLI on How it starts
The opening of the file, as written. The whole thing — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
done — the evidence gate
/done [what was being built, or a path to its spec/plan]
Answer one question: is there evidence this change works and does what was asked — or does it merely look finished? "The work looks done" is the weakest signal in agentic coding; this gate replaces it with quoted output and an independent review. It never makes the change better — it decides whether the change is ready.
Step 0 — Establish the yardstick
Identify the diff (uncommitted changes, or the branch vs its merge base)
and the intent: the change folder's spec.md/plan.md if this came from
the feature skill, the bug repro if from bugfix, otherwise ask the user for
one sentence of "what was this supposed to do". No yardstick → the review
below can only check correctness, not compliance; say so.
Step 1 — Evidence checklist
Copy this checklist into the response and fill it in as you go — every line gets quoted command output or an explicit ✗ with the reason. An unticked line with a reason is honest; a ticked line without evidence is the exact failure this skill exists to prevent.
- [ ] Full test suite: <command> → <pass/fail counts, verbatim tail>
- [ ] Lint / typecheck: <command> → <result> (✗ if repo has none)
- [ ] Build: <command> → <result> (✗ if n/a)
- [ ] Ran the actual change: <command / flow> → <observed behavior>
- [ ] Diff hygiene: no debug prints (grep the diff for [DEBUG- — the tag
bugfix leaves), no commented-out code, no stray files
- [ ] Tripwires (fake-green + source-security, below): clean
Every line is quoted redacted: secrets replaced with <REDACTED>, long
output cut to its signal-carrying lines. A live secret in pasted evidence is
itself a finding — treat it like a tripwire hit (→ FIX FIRST)
until it's out of the evidence; whether it's also in the code is the
source-security scan's job below.
"Ran the actual change" is the line agents skip and humans value most: a green suite proves the tests pass, not that the feature works. Execute the spec's end-to-end check — start the app, curl the endpoint, run the CLI on real input — and report what actually happened. On auth, payment, or data-migration surfaces, "ran the change" means the failure path too, not just the happy one — an expired or tampered token is rejected, a declined card and a replayed webhook are handled, a migration's rollback is actually run — because that's where these surfaces break. Happy-path evidence alone on one of those surfaces can't reach SHIP: it's incomplete evidence (→ FIX FIRST, or NEEDS HUMAN when the missing check is a judgment call).
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.
- 4d ago First seen · 226 lines · 204 tokens per session scan A d93cebfff7b2
done is a skill published in the GitHub repository duthaho/skillhub (9 stars, last pushed 10d ago), licensed MIT. It adds 204 tokens to every session and 2,997 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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