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 commands/modelengine-group/fit-framework/fit-analyze-issuegit 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 | $0.00011 | $0.00578 |
| Opus 5 | $0.00005 | $0.00289 |
| Sonnet 5 | $0.00002 | $0.00116 |
| Haiku 4.5 | $0.00001 | $0.00058 |
Grade A, and why
fit-analyze-issue 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 3d 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
分析 GitHub Issue #$1 并创建任务文件。
执行以下步骤:
-
获取 Issue 信息:
gh issue view $1 --json number,title,body,labels如果 Issue 不存在,提示用户检查 Issue 编号。
-
生成任务ID:
date +%Y%m%d-%H%M%S -
创建任务目录:
mkdir -p .ai-workspace/active/TASK-<timestamp>/使用 Write 工具基于 .agents/templates/task.md 模板创建 task.md 文件:
- 填写任务元数据: issue_number=$1, title, created_at, workflow 等
- created_by: human
- current_step: requirement-analysis
- assigned_to: codex
-
执行需求分析(仅分析,不编写任何业务代码):
- 阅读并理解 Issue 描述
- 搜索相关代码文件(使用 glob/grep,只读不改)
- 分析代码结构和影响范围
- 识别潜在的技术风险和依赖
- 评估工作量和复杂度
-
输出分析文档到 analysis.md,包含:
- 需求理解(重新描述需求)
- 相关文件列表(带文件路径和行号)
- 影响范围评估(直接影响和间接影响)
- 技术风险
- 依赖关系
- 工作量和复杂度评估
-
更新任务状态:
- current_step: requirement-analysis
- updated_at: 当前时间
- 标记 analysis.md 为已完成
- 在"工作流进度"中标记 requirement-analysis 为完成 ✅
-
告知用户:
- 输出任务ID、标题、工作流
- 显示输出文件路径
- 提示下一步设计技术方案:
- Claude Code / OpenCode: /plan-task
- Gemini CLI: /fit:plan-task
- Codex CLI: /prompts:fit-plan-task
注意事项:
- 严格遵循 .agents/workflows/feature-development.yaml 工作流定义
- 🔴 禁止编写、修改任何业务代码,只做分析
- 分析完成后建议人工审查
- 如果已存在相关任务,询问是否重新分析
🛑 STOP: 完成上述步骤后立即停止。不要继续执行 plan、implement 或任何后续步骤。
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.
- 3d ago First seen · 67 lines · 11 tokens per session scan A ac72df66de5b
fit-analyze-issue is a command published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 578 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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