Borrowing it
Nothing to install: this file belongs to houarnu166/skillful-agent-system-builder. 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/houarnu166/skillful-agent-system-builder/main/.agents/skills/concise-planning/SKILL.mdgit clone --depth 1 https://github.com/houarnu166/skillful-agent-system-builderWrote 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/houarnu166/skillful-agent-system-builder/concise-planning)<a href="https://agentmods.dev/skills/houarnu166/skillful-agent-system-builder/concise-planning"><img src="https://agentmods.dev/badge/skills/houarnu166/skillful-agent-system-builder/concise-planning/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/houarnu166/skillful-agent-system-builder/concise-planning"><img src="https://agentmods.dev/badge/skills/houarnu166/skillful-agent-system-builder/concise-planning.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 | $0.00029 | $0.00346 |
| Opus 5.5 | $0.00012 | $0.00138 |
| Sonnet 5.5 | $0.00006 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade A, and why
concise-planning 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.
This is a copy
89% identical to concise-planning — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Concise Planning
Goal
Turn a user request into a single, actionable plan with atomic steps.
Workflow
1. Scan Context
- Read
README.md, docs, and relevant code files. - Identify constraints (language, frameworks, tests).
2. Minimal Interaction
- Ask at most 1–2 questions and only if truly blocking.
- Make reasonable assumptions for non-blocking unknowns.
3. Generate Plan
Use the following structure:
- Approach: 1-3 sentences on what and why.
- Scope: Bullet points for "In" and "Out".
- Action Items: A list of 6-10 atomic, ordered tasks (Verb-first).
- Validation: At least one item for testing.
Plan Template
# Plan
<High-level approach>
## Scope
- In:
- Out:
## Action Items
[ ] <Step 1: Discovery>
[ ] <Step 2: Implementation>
[ ] <Step 3: Implementation>
[ ] <Step 4: Validation/Testing>
[ ] <Step 5: Rollout/Commit>
## Open Questions
- <Question 1 (max 3)>
Checklist Guidelines
- Atomic: Each step should be a single logical unit of work.
- Verb-first: "Add...", "Refactor...", "Verify...".
- Concrete: Name specific files or modules when possible.
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 · 63 lines · 29 tokens per session scan A ecd35e54ee11
concise-planning is a skill published in the GitHub repository houarnu166/skillful-agent-system-builder (23 stars, last pushed 8mo ago), licensed MIT. It adds 29 tokens to every session and 346 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 89% identical to concise-planning, differing in 7 lines, and is treated as a copy.
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