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/modelengine-group/fit-framework/plan-tasknpx skills add ModelEngine-Group/fit-framework --skill plan-taskgit clone --depth 1 https://github.com/ModelEngine-Group/fit-frameworkWhat 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 | $0.00036 | $0.00245 |
| Opus 5 | $0.00018 | $0.00122 |
| Sonnet 5 | $0.00007 | $0.00049 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
plan-task 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 yesterday.
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
设计技术方案
执行步骤
-
查找任务文件（搜索 active/blocked/completed 目录）。
-
读取 analysis.md，理解:
- 问题的根本原因和影响范围
- 技术约束和特殊要求
- 相关文件和依赖关系
-
设计解决方案:
- 提出多个可行方案并对比优劣
- 选择最合适的方案并说明理由
- 制定详细的实施步骤
- 列出需要创建/修改的文件清单
- 设计验证策略
-
输出方案文档到 plan.md。
-
更新任务状态，标记 technical-design 为完成。
-
提示这是人工审查检查点，审查通过后使用 implement-task skill。
注意: 充分思考，不要急于实施。方案设计完成后等待人工审查。
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.
- yesterday First seen · 31 lines · 36 tokens per session scan A 0fee072c521f
plan-task is a skill published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 5mo ago), licensed MIT. It adds 36 tokens to every session and 245 once invoked, about $0.0002 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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