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 skills add ZeroMadLife/sage-agent --skill planmodegit clone --depth 1 https://github.com/ZeroMadLife/sage-agentWrote 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/zeromadlife/sage-agent/planmode)<a href="https://agentmods.dev/skills/zeromadlife/sage-agent/planmode"><img src="https://agentmods.dev/badge/skills/zeromadlife/sage-agent/planmode/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/zeromadlife/sage-agent/planmode"><img src="https://agentmods.dev/badge/skills/zeromadlife/sage-agent/planmode.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 | $0.00013 | $0.00174 |
| Opus 5.5 | $0.00005 | $0.00070 |
| Sonnet 5.5 | $0.00003 | $0.00035 |
| Haiku 4.5 | $0.00001 | $0.00017 |
Grade A, and why
planmode 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 1mo 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
进入计划模式,为以下任务制定详细方案:
$ARGUMENTS
请按以下步骤操作:
- 如 enter_plan_mode 工具不可用,先调用 tool_search 激活它
- 调用 enter_plan_mode 工具进入计划模式,topic 为上述任务描述
- 在计划模式下,阅读相关代码文件,理解现有架构
- 将计划写入 plan 文件(.coding/plans/ 目录下)
- 计划应包含:目标、步骤、涉及文件、风险评估
- 调用 exit_plan_mode 提交计划等待用户审批
- 用户审批后,按计划执行
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.
- 1mo ago First seen · 19 lines · 13 tokens per session scan A ed8f5a6c2562
planmode is a skill published in the GitHub repository ZeroMadLife/sage-agent (10 stars, last pushed 1mo ago), licensed MIT. It adds 13 tokens to every session and 174 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.
Other skills, from other repositories
Implement (multi-agent loop)
Orchestrate an implement -> review -> fix loop with subagents until reviewers sign off.
Review a GitHub PR (via gh)
Review a specific GitHub pull request with gh — fetch the diff, fan out reviewers, consolidate, and optionally post the review. Requires the gh CLI or the GitHub MCP server.
Best of N (parallel attempts)
Delegate N parallel subagents on the same task, then pick the best result.
Design doc (write -> review loop)
Draft a design document and iterate writer/reviewer subagents until consensus.
PR babysit (watch & drive to green)
Watch a pull request and delegate fixes until CI is green and reviews are addressed. Requires the GitHub MCP server or gh.
Review changes (multi-agent)
Delegate read-only reviewers over the local changes/branch and consolidate findings.