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/zhoubengao/ilink/ilink-pullgit clone --depth 1 https://github.com/zhoubengao/iLinkWrote 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/commands/zhoubengao/ilink/ilink-pull)<a href="https://agentmods.dev/commands/zhoubengao/ilink/ilink-pull"><img src="https://agentmods.dev/badge/commands/zhoubengao/ilink/ilink-pull.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00487 |
| Opus 5 | $0.00000 | $0.00244 |
| Sonnet 5 | $0.00000 | $0.00097 |
| Haiku 4.5 | $0.00000 | $0.00049 |
Grade A, and why
ilink-pull 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 5d 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
你现在执行 iLink 的 Issue System 拉取 操作。
参数
$ARGUMENTS 为一个 story-id(如 FS-AMO-5359),大小写原样透传给 Issue System,不做任何转换。本命令只接受 1 个参数。
必填校验
如果 $ARGUMENTS 为空,MUST 拒绝执行,向用户输出:
❌ 用法:/ilink-pull <story-id>
例如:/ilink-pull FS-AMO-5359
执行任务
调用本目录下的 bash 脚本执行实际拉取(脚本完成所有校验、HTTP 请求、JSON 解析、文件写入):
bash .claude/commands/ilink-pull.sh $ARGUMENTS
SHALL NOT:
- 自己拼 URL、自己解析 JSON、自己写文件——这些全部由 bash 脚本完成
- 读取 project-context.md 中"Issue System 集成"AI 隔离块的内容并作为业务上下文(遵守 Root Spec §7.8 / universal.soul §4.1)
- 修改 project-context.md 中的 Issue System 配置(如需变更指引用户手动编辑或重跑
/ilink-bootstrap)
输出处理
首要原则:bash 脚本的 stdout / stderr 原样转给用户——脚本已包含完整的进度信息、成功提示、错误指引。SHALL NOT 重复转述或自行解释脚本已经说过的内容。
仅在脚本退出码 0 时,追加 1 行简短下一步提示(脚本本身不输出这行):
下一步:核对 requirement.md 的其他区块(功能范围 / 验收标准 / 约束备注 / 假设与风险),完成后执行
/ilink-pm <story-id>进入需求分析阶段。
脚本退出码非 0 时:SHALL NOT 再次调用脚本、SHALL NOT 添加任何补充说明。用户根据 stderr 自行处理(编辑 project-context.md、检查网络、修正 story-id 等)。
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.
- 5d ago First seen · 39 lines · 0 tokens per session scan A 0ddc8c36ce17
ilink-pull is a command published in the GitHub repository zhoubengao/iLink (22 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 487 tokens. 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.
Other commands, from other repositories
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clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.