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 alleneubank/claude-code --skill writing-plansgit clone --depth 1 https://github.com/alleneubank/claude-codeWrote 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/alleneubank/claude-code/writing-plans)<a href="https://agentmods.dev/skills/alleneubank/claude-code/writing-plans"><img src="https://agentmods.dev/badge/skills/alleneubank/claude-code/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/alleneubank/claude-code/writing-plans"><img src="https://agentmods.dev/badge/skills/alleneubank/claude-code/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 | $0.00024 | $0.00668 |
| Opus 5.5 | $0.00010 | $0.00267 |
| Sonnet 5.5 | $0.00005 | $0.00134 |
| Haiku 4.5 | $0.00002 | $0.00067 |
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 2mo 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing Plans
Overview
Turn requirements into an executable plan with concrete files, tests, and verification. A good plan removes guesswork without pretending the implementation is already done.
Core principle: Every task should be specific enough that an engineer can execute it without inventing missing requirements.
When to Use
Use this skill when:
- The task spans multiple files, phases, or checks
- Requirements are stable enough to plan
- The work benefits from a written execution order
Do not use this skill when:
- The change is small enough to track directly in
update_plan - Requirements are still ambiguous
- The user asked to implement immediately and the work is trivial
Before Writing the Plan
- Read the relevant code, docs, and existing specs.
- Confirm the scope is one coherent unit of work.
- Stop and clarify if the plan would depend on guessed requirements.
If the request covers multiple independent changes, split it into separate plans or clearly separated task groups.
Plan Format
Save the plan where the user asked. If they did not specify a location, use:
docs/plans/YYYY-MM-DD-<topic>.md
Start with:
# <Topic> Implementation Plan
**Goal:** <one sentence>
**Scope:** <what this plan covers>
**Non-goals:** <what this plan intentionally avoids>
**Risks:** <key technical or rollout risks>
Then include:
Files
- Create:
path/to/new_file - Modify:
path/to/existing_file - Test:
path/to/test_file
Task N:
- Outcome:
- Steps:
- Write or update the failing test
- Run the targeted check and confirm the expected failure
- Implement the minimal change
- Re-run targeted verification
- Run broader regression checks if needed
- Verification:
exact command- expected result
- Dependencies:
Task N-1ornone
Planning Rules
- Use exact file paths.
- Prefer tasks that can be reviewed independently.
- Encode test-first thinking when the task changes runtime behavior.
- Include commands that can actually be run from the repo.
- Keep steps concrete: "add parser for X in
foo.ts", not "improve parsing". - Keep unrelated refactors out unless they are required to make the change safe.
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.
- 2mo ago First seen · 98 lines · 24 tokens per session scan A 2cc95feb7446
writing-plans is a skill published in the GitHub repository alleneubank/claude-code (49 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 24 tokens to every session and 668 once invoked, about $0.0001 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 2026-08-30.
writing-plans compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| writing-plansalleneubank/claude-code | Skill | 49 | 4mo ago | Apache-2.0 | A | 24 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 6d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |