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/xrensiu/claude-code-forge/fix-bug-loopnpx skills add XRenSiu/claude-code-forge --skill fix-bug-loopgit clone --depth 1 https://github.com/XRenSiu/claude-code-forgeWhat 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 | $0.00134 | $0.04620 |
| Opus 5 | $0.00067 | $0.02310 |
| Sonnet 5 | $0.00027 | $0.00924 |
| Haiku 4.5 | $0.00013 | $0.00462 |
Grade A, and why
forge-fix 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 511 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Forge Fix - 独立 Bug 修复
描述 bug → 对抗调试定位根因 → TDD 修复 → 独立验证 → 循环直到修好。
这是 forge-teams 的独立 bug 修复入口。复用已有的对抗调试引擎(hypothesis-investigator、devils-advocate、evidence-synthesizer、issue-fixer),但提供独立编排、快速路径分流和三层迭代控制。
Announce at start: "I'm using the forge-fix skill to create an agent team that will locate and fix this bug through adversarial debugging and TDD."
前置条件: 需要启用 Agent Teams 实验性功能。 在 settings.json 中添加:
"env": { "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1" }
用法
/forge-fix <bug-description> [options]
参数说明
| 参数 | 说明 | 默认值 |
|---|---|---|
<bug-description> |
bug 描述(文本、文件路径、或错误日志) | 必填 |
--loop <N> |
最大修复-验证循环次数 | 3 |
--quick |
快速路径:跳过对抗调试,直接用 issue-fixer 修复(适用于简单 bug) | 不启用 |
--team-size <size> |
假设调查团队规模(small=3 假设, medium=4, large=5) | medium |
--no-verify |
修复后跳过独立验证(不推荐) | 启用验证 |
示例
# 直接描述 bug
/forge-fix "支付回调间歇性超时,大约每10次失败2次"
# 简单 bug,快速路径
/forge-fix "登录页面 CSS 错位" --quick
# 复杂 bug,加大团队 + 增加循环
/forge-fix "高并发下 Redis 连接池泄漏" --team-size large --loop 5
# 从错误日志修复
/forge-fix "npm test 报错: TypeError: Cannot read property 'id' of undefined at src/user.ts:42"
输出目录
docs/forge-fix/
└── [bug-slug]-[timestamp]/
├── intake.md # 问题信息收集
├── hypotheses.md # 假设列表(非 quick 模式)
├── debate-log.md # 对抗辩论记录(非 quick 模式)
├── verdict.md # 根因判定
├── fix-report.md # TDD 修复报告
├── verification.md # 独立验证报告
└── summary.md # 最终修复摘要
Quick vs Full Path Decision (快速路径分流)
用户描述 bug
│
├── --quick 指定 → 快速路径
│
└── 未指定 → Lead 评估复杂度
│
├── 简单信号 → 建议快速路径(用户确认)
│ - 单文件、单函数问题
│ - 错误信息直接指向根因(如 TypeError at file:line)
│ - 纯 UI/CSS 问题
│ - typo 或明显逻辑错误
│
└── 复杂信号 → 完整对抗调试路径
- 间歇性故障
- 多个可能根因
- 涉及并发/状态/竞态
- 跨模块/跨服务
- "时有时无"、"偶尔"、"不稳定"
Quick Path (快速路径)
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.
- 2d ago First seen · 511 lines · 134 tokens per session scan A 5f7b39f6d699
forge-fix is a skill published in the GitHub repository XRenSiu/claude-code-forge (2 stars, last pushed 1mo ago), licensed MIT. It adds 134 tokens to every session and 4,620 once invoked, about $0.0007 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.