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 skills/s977043/plangate/context-loadnpx 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.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 | $0.00067 | $0.00434 |
| Opus 5 | $0.00034 | $0.00217 |
| Sonnet 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 4d 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.
- 4d 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 3d ago), licensed MIT. It adds 67 tokens to every session and 434 once invoked, about $0.0003 per session on Opus 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
skill-maintenance
Automated skill maintenance tool (v6 — Unified Registry + Snapshots). Full scan: [Orphan] migrate misplaced skills from category dirs OR standalone skills/<name>/ to auto-generated/, [Sync] auto-generated/ vs registry lifecycle diff (new/deleted/revived + description auto-sync via lifecycle field), [Reg]…
watch
File sentinel that monitors the working directory for changes and marker comments, then auto-triggers appropriate skills. Poll-based via git diff against the last scan commit. Writes intake items for batch processing and routes marker actions through /do. Use for automatic reactions to file changes; do NOT use for…
review
5-pass structured code review — correctness, security, performance, readability, consistency.
live-preview
Mid-build visual verification loop. Takes screenshots of components during construction, not just after. Catches visual regressions and invisible features before they compound. Requires Playwright or similar screenshot tool.
marshal
Meta-orchestrator that takes any direction — broad, specific, or vague — and autonomously chains skills and context into actionable work. Gathers context from codebase, docs, and memory. Only asks the user when it genuinely cannot proceed. Single-session orchestrator.
wiki
Markdown-first knowledge base where the LLM acts as librarian. Ingests raw sources, compiles and interlinks topic files, self-maintains an index. No vector DB or embeddings required -- uses LLM-native navigation over structured markdown up to 400K words.