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 s977043/PlanGate --skill context-loadgit clone --depth 1 https://github.com/s977043/PlanGateWrote 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/s977043/plangate/context-load)<a href="https://agentmods.dev/skills/s977043/plangate/context-load"><img src="https://agentmods.dev/badge/skills/s977043/plangate/context-load/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/s977043/plangate/context-load"><img src="https://agentmods.dev/badge/skills/s977043/plangate/context-load.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 | $0.00067 | $0.00434 |
| Opus 5.5 | $0.00027 | $0.00174 |
| Sonnet 5.5 | $0.00013 | $0.00087 |
| Haiku 4.5 | $0.00007 | $0.00043 |
Grade A, and why
context-load 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
Context Load
AGENTS.md、関連 docs、依頼文（チケット / 会話 / 添付資料）から案件に必要な前提を抽出し、後続 phase が迷わず進められる形にサマライズする Skill。
カテゴリ
Scan
想定 Phase
WF-01 Context Bootstrap
入力
- プロジェクトの AGENTS.md
- 関連する既存ドキュメント（docs/*）
- 依頼文（チケット本文 / コメント / 添付資料）
- 既存コード（読むべき範囲のみ）
出力
artifact クラス: context
- 対象範囲のサマリ
- 使用可能な技術スタック一覧
- 禁止事項・触ってはいけないファイルの列挙
- 成果物定義（Definition of Done の骨子）
使い方
- WF-01 入口で orchestrator / requirements-analyst が呼び出す
- 出力は WF-02 Requirement Expansion の入力となる
関連
- Workflow:
docs/workflows/01_context_bootstrap.md（配布対象外。install.sh --claude/ plugin / Codex の 3 経路とも導入先には配置されない。解決できない場合は本 Skill の記述を代替正本とし、「正本<path>を参照できなかった」と明示する） - Rule: Rule 2（Skill は再利用単位）、Rule 4（案件固有情報は AGENTS.md に寄せる）
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 · 43 lines · 67 tokens per session scan A 0f5ab3d02da4
context-load is a skill published in the GitHub repository s977043/PlanGate (2 stars, last pushed yesterday), licensed MIT. It adds 67 tokens to every session and 434 once invoked, about $0.0003 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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