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/syy12335/environment-runtime/accutestnpx skills add syy12335/Environment-Runtime --skill accutestgit clone --depth 1 https://github.com/syy12335/Environment-RuntimeWrote 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/syy12335/environment-runtime/accutest)<a href="https://agentmods.dev/skills/syy12335/environment-runtime/accutest"><img src="https://agentmods.dev/badge/skills/syy12335/environment-runtime/accutest.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 5.1 | $0.00027 | $0.00317 |
| Opus 5 | $0.00014 | $0.00159 |
| Sonnet 5 | $0.00005 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
accutest 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 6d 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
Accutest Workflow Type
定位：accutest 用于精度、质量、评分、效果评估。
常见情况
- 做一次精度测试
- 评估这版输出质量
- 给这个结果打分
- 看一下模型效果
路由边界
- 若用户要“解释上一轮 accutest 含义”，通常应路由到
executor。 - 若用户要“执行评估”，应路由到
accutest。
task_content 生成要点
- 明确评估对象
- 明确核心评估维度（准确性/质量/评分）
- 用简洁可执行语言描述本轮评估目标
Workflow I/O
- 入口：
scripts/run.py - 调用：
run(*, task_content: str) -> dict - 返回：
{"task_status": "done|failed", "task_result": "..."}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 41 lines · 27 tokens per session scan A b5d4aa30faeb
accutest is a skill published in the GitHub repository syy12335/Environment-Runtime (129 stars, last pushed 3mo ago), licensed MIT. It adds 27 tokens to every session and 317 once invoked, about $0.0001 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 2026-08-30.
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