Borrowing it
Nothing to install: this file belongs to DeL-TaiseiOzaki/claude-code-orchestra. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DeL-TaiseiOzaki/claude-code-orchestra/main/.claude/skills/plan/SKILL.mdgit clone --depth 1 https://github.com/DeL-TaiseiOzaki/claude-code-orchestraWrote 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/del-taiseiozaki/claude-code-orchestra/plan)<a href="https://agentmods.dev/skills/del-taiseiozaki/claude-code-orchestra/plan"><img src="https://agentmods.dev/badge/skills/del-taiseiozaki/claude-code-orchestra/plan/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/del-taiseiozaki/claude-code-orchestra/plan"><img src="https://agentmods.dev/badge/skills/del-taiseiozaki/claude-code-orchestra/plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.02079 |
| Opus 5 | $0.00011 | $0.01040 |
| Sonnet 5 | $0.00004 | $0.00416 |
| Haiku 4.5 | $0.00002 | $0.00208 |
Grade A, and why
plan 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.
How it starts
The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create Implementation Plan
Create an implementation plan for $ARGUMENTS.
A plan is a file, not a transcript. The plan produced here is written to a
resolved path, validated against a document contract, reviewed by Codex, and
approved by the user — in that order, and all four. A plan that lives only in
the conversation cannot be handed to /team-execute, cannot survive a
/checkpointing compaction, and cannot be re-read next session.
Planning Process
0. Resolve the Workspace (always first)
Resolve this plan's slug and output path once. The title becomes the file name, so give it a short English descriptor — not the user's raw wording, which the Language Protocol keeps out of paths:
python3 .claude/skills/_shared/workspace.py \
--skill plan --title "<short English title>" --create
The JSON on stdout carries slug and paths.plan_doc
(.claude/docs/plans/{slug}.md). Every {slug} and every output path below —
and the /team-execute handoff in step 6 — MUST come from this JSON verbatim,
never be re-derived by hand: two hand-derived slugs are exactly how a plan and
its executor's work logs drift apart. Exit codes: 0 resolved (and created);
1 bad arguments.
If .claude/docs/plans/{slug}.md already exists, the plan is a revision of that
document — read it first and say so, rather than silently overwriting it.
1. Requirements Analysis
First clarify with the user:
- Purpose: What to achieve
- Scope: What to include, what to exclude
- Constraints: Technical, time, dependencies
Ask, do not assume. Unresolved items belong in ### Open Questions, not in a
guessed step.
2. Current State Investigation
Reading the codebase for a plan is broad-context work: delegate it rather than consuming orchestrator context.
Task tool:
subagent_type: "general-purpose-opus"
prompt: |
Investigate this codebase for a planned change: {purpose from step 1}
Report, with file:line evidence for every claim:
1. Related existing code — which modules already do something similar
2. Files that will need to change, and why each one
3. Libraries and patterns the change should reuse (project conventions)
4. Existing tests that cover the affected area, and gaps in that coverage
5. Constraints or invariants the change must not break
Use Glob, Grep, and Read. Do not implement anything.
Return the findings; do not summarize away the file paths.
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 Changed ce736a6fd509
- 11d ago First seen · 238 lines · 22 tokens per session scan A 8337a661d806
plan is a skill published in the GitHub repository DeL-TaiseiOzaki/claude-code-orchestra (195 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 2,079 once invoked, about $0.0001 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 2026-08-30.
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