debug

A debugging and bug-fixing workflow for ds-code. It starts by reproducing a reported problem, then makes the smallest change that restores the expected behavior.

In plain words
What is it for?
Use it to investigate errors, failed tests, regressions, or other reproducible problems, adding a focused test or reproduction and verifying the fix with tests and the build.
Why use it?
It avoids guessing and helps distinguish the actual cause from unrelated code changes or symptoms.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/qddidi/ds-code/debug
Any agent
npx skills add qddidi/ds-code --skill debug
Clone the repo
git clone --depth 1 https://github.com/qddidi/ds-code

Made for: Claude Code, Codex.

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 199 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00018 $0.00199
Opus 5 $0.00009 $0.00100
Sonnet 5 $0.00004 $0.00040
Haiku 4.5 $0.00002 $0.00020

Measured yesterday against content hash 913a695c91d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

debug 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.

.claude/skills/debug/SKILL.md · 22 lines

What it actually says

用于修复明确的问题现象、报错、测试失败或回归。

执行流程:

  1. 明确复现条件、影响范围和期望行为;信息不足时只问必要问题。
  2. 定位相关实现和测试,优先写最小失败测试或复现命令。
  3. 先确认失败,再做最小修复;不要顺手重构无关代码。
  4. 运行目标测试、相关测试和 pnpm build
  5. 汇报根因、修改点、验证结果和仍需人工确认的内容。

约束:不盲猜;不绕过测试、类型或权限检查;不自动提交。

Changes

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.

  1. yesterday First seen · 22 lines · 18 tokens per session scan A 913a695c91d9

Subscribe to this mod's changes

debug is a skill published in the GitHub repository qddidi/ds-code (10 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 199 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 2026-08-31.

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