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 ao92265/claude-code-playbook --skill writing-plansgit clone --depth 1 https://github.com/ao92265/claude-code-playbookWrote 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/ao92265/claude-code-playbook/writing-plans)<a href="https://agentmods.dev/skills/ao92265/claude-code-playbook/writing-plans"><img src="https://agentmods.dev/badge/skills/ao92265/claude-code-playbook/writing-plans/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/ao92265/claude-code-playbook/writing-plans"><img src="https://agentmods.dev/badge/skills/ao92265/claude-code-playbook/writing-plans.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 | $0.00122 | $0.00701 |
| Opus 5 | $0.00061 | $0.00351 |
| Sonnet 5 | $0.00024 | $0.00140 |
| Haiku 4.5 | $0.00012 | $0.00070 |
Grade A, and why
writing-plans 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 today.
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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Plans
Generate comprehensive, actionable implementation plans before coding.
When to Use
- Multi-step tasks (3+ distinct steps)
- Changes touching multiple files
- New features requiring design decisions
- User explicitly asks for a plan
- Complex refactoring or migrations
Process
Step 1: Announce
Say: "I'm using the writing-plans skill to create an implementation plan."
Step 2: Understand the Task
- What's the goal?
- What constraints exist?
- What's the current state?
- Are there dependencies?
Step 3: Write the Plan
Save to: docs/plans/YYYY-MM-DD-{feature-name}.md
Use the template in assets/plan-template.md as the starting structure.
Plan must include:
- Feature name and goal - One clear sentence
- Architecture approach - 2-3 sentences on the strategy
- Tech stack - What tools/libraries/frameworks
- Exact file paths - Every file that will be created/modified
- Code examples - Complete, not abstract
- Commands - Specific commands with expected outputs
- Verification steps - How to know each step worked
Step 4: Define Atomic Tasks
Each task should take 2-5 minutes. Separate:
- Write test
- Verify test fails
- Implement feature
- Verify test passes
- Commit
Bad: "Add user authentication" Good:
- Create
tests/auth/test_login.pywith login test - Run
pytest tests/auth/test_login.py- verify FAILS - Create
src/auth/login.pywith login function - Run
pytest tests/auth/test_login.py- verify PASSES - Commit: "feat(auth): add login function"
Step 5: Offer Execution Path
After completing the plan:
Ready to execute?
- Option A: I execute the plan now (batch execution with checkpoints)
- Option B: You execute, I guide (pair programming style)
Principles
- DRY - Don't repeat yourself
- YAGNI - You aren't gonna need it
- TDD - Write tests first when practical
- Frequent commits - Small, atomic commits
- Assume competence - Don't over-explain basics
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.
- today Changed · -5 tokens per session 4ee4675f301b
- 9d ago First seen · 99 lines · 127 tokens per session scan A 85bd218867d2
writing-plans is a skill published in the GitHub repository ao92265/claude-code-playbook (10 stars, last pushed today), licensed MIT. It adds 122 tokens to every session and 701 once invoked, about $0.0006 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.
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