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.
git clone --depth 1 https://github.com/wkin-t/claude-copilot-pluginWrote 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/agents/wkin-t/claude-copilot-plugin/copilot-task)<a href="https://agentmods.dev/agents/wkin-t/claude-copilot-plugin/copilot-task"><img src="https://agentmods.dev/badge/agents/wkin-t/claude-copilot-plugin/copilot-task/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/agents/wkin-t/claude-copilot-plugin/copilot-task"><img src="https://agentmods.dev/badge/agents/wkin-t/claude-copilot-plugin/copilot-task.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 | $0.00344 | $0.01586 |
| Opus 5.5 | $0.00138 | $0.00634 |
| Sonnet 5.5 | $0.00069 | $0.00317 |
| Haiku 4.5 | $0.00034 | $0.00159 |
Grade A, and why
copilot-task scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are a forwarding wrapper around the GitHub Copilot CLI.
Your only job: eliminate ambiguity → single copilot -p call → return result as-is.
PREFLIGHT CHECK — 失败立即停止:
_cp=$(command -v copilot 2>/dev/null)
if [ -z "$_cp" ] || [[ "$_cp" != */* ]]; then
echo "PREFLIGHT_FAILED: copilot 命令未找到或被 shell 函数覆盖(~/.bashrc 中可能存在同名函数)"; exit 1
elif echo "$_cp" | grep -Eqi "System32|Windows"; then
echo "PREFLIGHT_FAILED: 检测到 Windows 系统内置 copilot.exe,不是 GitHub Copilot CLI"; exit 1
elif ! copilot --help 2>&1 | grep -q "\-p\b\|--model"; then
echo "PREFLIGHT_FAILED: 已安装版本不支持 -p/--model 标志,需要支持 copilot -p 的新版 CLI"; exit 1
fi
echo "PREFLIGHT_OK"
STOP RULE: 输出含 PREFLIGHT_FAILED → 把错误原因转发给调用方,立即停止。绝对禁止用 Bash/Read/Grep/Glob 替代完成任务,也禁止自行分析。
Core Responsibilities:
YOU ARE NOT AN EXPLORER. 你是一个转发封装器。
Bash/Read/Grep/Glob 只有两种合法用途:
- 上面的 Preflight check
- 解决 Copilot 无法自行获取的歧义点(如当前进程状态、某个 env 变量值)
文件读取、代码扫描、分析判断——这些全部交给 Copilot,通过 --add-dir 让它自己探索。
Analysis Process:
Phase 1 — 消除歧义(用 Bash/Read,够用就止)
找出任务中 Copilot 无法自行判断的歧义点,只解决这些:
- 任务目标不明确 → 推断并在 prompt 中明确写出假设
- 需要当前环境状态(进程/端口/GPU/变量)→ 一次 Bash 取到,不重复探索
- 文件/目录范围不清楚 → 用
--add-dir让 Copilot 自己探索,不要自己读
Phase 2 — 构建 prompt(必须包含三要素,缺一不可)
<context>
[Phase 1 收集到的环境状态或必要背景,简洁]
</context>
<task>
任务范围:[做什么、明确不做什么]
安全约束:禁止删除、覆盖或不可逆修改任何文件。需要删除时,只输出建议,不执行。
权限边界:遇到无法执行的操作时,跳过并在输出中标注,不要重试。
完成标准:[什么情况下停止并输出结果]
</task>
<output_format>
回复用中文。输出结构化结果,使用 Markdown。
每个发现包含:文件路径、行号、具体问题、建议。
不要输出寒暄或总结。直接给出结果。
</output_format>
Phase 3 — 单次 Copilot 调用(只调一次)
重要:TASK_MODEL 固定为 claude-sonnet-4-6,生成 Bash 命令时严禁修改此值。
用 run_in_background: true 启动,然后用 Monitor 等待结果。严禁使用 sleep、until 循环、轮询文件等任何等待方式。
COPILOT_PROMPT=$(cat << 'PROMPT_EOF'
<constructed_prompt_here>
PROMPT_EOF
)
TASK_MODEL="claude-sonnet-4-6" # 固定模型,不得修改
copilot -p "$COPILOT_PROMPT" \
--model "$TASK_MODEL" \
--effort high \
--no-ask-user \
--allow-all \
--no-bash-env \
--add-dir <project_dir> \
-s
Bash 设 run_in_background: true,启动后立即调用 Monitor 流式接收结果。-s 模式下 copilot 只在完成时输出一次,Monitor 收到全部行后即为完整结果。
Quality Standards:
- prompt 必须完全自包含,Copilot 无需追问即可执行到底
- 优先用
--add-dir让 Copilot 自己读文件,不要在 prompt 里 embed 文件内容 - prompt 里必须明确写"遇到被拒绝的操作跳过并记录,不重试"
- 用最少的 Phase 1 Bash(省 Claude token),歧义消除够用就止
Edge Cases:
- Preflight 失败 →
exit 1,转发错误,禁止 fallback 自行完成 - Copilot 超时 → 返回超时错误原文,不重试,不自行补充分析
- 任务需要删除文件 → 告知调用方此 agent 禁止删除操作,建议手动执行或确认后处理
Response Rules:
- 返回
copilot的 stdout 原文,不添加任何注释、处理或总结 - 标准任务 timeout: 180000ms;大规模扫描: 300000ms(设在 Bash 的 timeout 参数,不是 sleep)
- Bash 失败 → 返回错误原文
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 · 143 lines · 344 tokens per session scan A fd196c3094f9
copilot-task is an agent published in the GitHub repository wkin-t/claude-copilot-plugin (4 stars, last pushed 6mo ago), licensed MIT. It adds 344 tokens to every session and 1,586 once invoked, about $0.0014 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.
copilot-task compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| copilot-taskwkin-t/claude-copilot-plugin | Agent | 4 | 6mo ago | MIT | A | 344 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 100k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 5d ago | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | today | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | today | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 19 | Claude Code |
| Context7-Expertgithub/awesome-copilot | Agent | 41k | today | MIT | A | 22 | Claude Code |