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 lingxling/awesome-skills-cn --skill accint-commitmentsgit clone --depth 1 https://github.com/lingxling/awesome-skills-cnWrote 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/lingxling/awesome-skills-cn/accint-commitments)<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/accint-commitments"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/accint-commitments/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/lingxling/awesome-skills-cn/accint-commitments"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/accint-commitments.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 | $0.00029 | $0.00386 |
| Opus 5 | $0.00015 | $0.00193 |
| Sonnet 5 | $0.00006 | $0.00077 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
accint-commitments 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 9d 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.
This is a copy
97% identical to accint-commitments — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
commitments
When to Use
Use this skill when you need triage acc's open promises and close them with honest real-world verdicts via acc_act(runtime="outcome").
Routing sugar over the two MCP verbs — no logic lives here.
- List open promises:
acc commitments(CLI, read-only observation). - For each closeable one:
acc_act(runtime="outcome", input={"ref": "<id>", "good": true|false, "note": "..."}). - Provenance discipline: the default
self_gradedis a WEAK prior (credits at 0.25×). Passowneronly when the owner validated,external/runtimeonly when reality did (a real reply, a passing test, a world result). Never tag your own grade as reality. - Leave genuinely-waiting commitments open —
waitingis a first-class clean state.
Limitations
- Use this skill only when the task clearly matches its upstream source and local project context.
- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
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.
- 9d ago First seen · 33 lines · 29 tokens per session scan A d29ac1372148
accint-commitments is a skill published in the GitHub repository lingxling/awesome-skills-cn (278 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 386 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to accint-commitments, differing in 8 lines, and is treated as a copy.
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