Borrowing it
Nothing to install: this file belongs to qddidi/ds-code. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/qddidi/ds-code/master/.claude/skills/tool/SKILL.mdgit clone --depth 1 https://github.com/qddidi/ds-codeWrote 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/qddidi/ds-code/tool)<a href="https://agentmods.dev/skills/qddidi/ds-code/tool"><img src="https://agentmods.dev/badge/skills/qddidi/ds-code/tool/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/qddidi/ds-code/tool"><img src="https://agentmods.dev/badge/skills/qddidi/ds-code/tool.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00017 | $0.00238 |
| Opus 5.5 | $0.00007 | $0.00095 |
| Sonnet 5.5 | $0.00003 | $0.00048 |
| Haiku 4.5 | $0.00002 | $0.00024 |
Grade A, and why
tool 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 2mo 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
用于实现新的 Agent 工具或调整已有工具行为。
执行流程：
- 阅读
src/tools/types.ts、工具 registry、权限逻辑和相近工具实现。 - 明确工具边界、输入 schema、输出
ToolResult和是否需要权限。 - 在
src/tools/做最小实现并注册；写入、删除、执行命令或影响外部状态的工具必须要求确认。 - 增加或更新
test/tools/测试，覆盖成功、参数错误、权限和关键边界。 - 仅当用户可见工具列表或测试计划变化时更新相关文档。
- 运行目标测试、相关测试和
pnpm build。
约束：参数使用 OpenAI-compatible JSON Schema；工具层错误返回 ToolResult；不使用 any；不自动提交。
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.
- 2mo ago First seen · 23 lines · 17 tokens per session scan A 8e63de4e19b2
tool is a skill published in the GitHub repository qddidi/ds-code (10 stars, last pushed 5mo ago), licensed MIT. It adds 17 tokens to every session and 238 once invoked, about $0.0001 per session on Opus 5.5. 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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