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 jackfranklin/dotfiles --skill write-plangit clone --depth 1 https://github.com/jackfranklin/dotfilesWrote 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/jackfranklin/dotfiles/write-plan)<a href="https://agentmods.dev/skills/jackfranklin/dotfiles/write-plan"><img src="https://agentmods.dev/badge/skills/jackfranklin/dotfiles/write-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/jackfranklin/dotfiles/write-plan"><img src="https://agentmods.dev/badge/skills/jackfranklin/dotfiles/write-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 | $0.00088 | $0.02777 |
| Opus 5.5 | $0.00035 | $0.01111 |
| Sonnet 5.5 | $0.00018 | $0.00555 |
| Haiku 4.5 | $0.00009 | $0.00278 |
Grade A, and why
write-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 25d 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 — 254 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Plan
Write a rigorous implementation plan assuming the engineer has zero context about the codebase and will execute tasks in isolation. Every step must contain everything they need — no references to "fill in later", no vague instructions, no placeholders.
DRY. YAGNI. TDD. Frequent commits. Focus on clear contracts, behavioral specs, and independent verification rather than premature code dumps. Prefer designs that are easy to explain, reason about locally, and change.
GitHub body safety — mandatory
Never place a Markdown plan in a shell-quoted gh --body argument. Backticks, $, and command examples in Markdown are shell syntax inside double-quoted Bash strings and can execute commands or leak their output into GitHub.
Write every issue body/comment to a temporary Markdown file outside the repository with the file-writing tool, then pass it with --body-file. Never use --body "...", --body "$(...)", backticks in a shell string, or an unquoted heredoc. If a heredoc is unavoidable, use a single-quoted delimiter: <<'EOF'.
After publication, verify that GitHub stored literal Markdown. If shell output or credentials appear, immediately delete/replace the affected comment, stop work, and tell the user to rotate exposed credentials.
Scope Check
Before investigation, state the proposed scope in three short bullets:
- Required outcome: the behavior explicitly requested by the issue or spec.
- Non-goals: adjacent features, refactors, generalization, cleanup, and future-proofing that are not required for that outcome.
- Simplest likely approach: the smallest change expected to deliver the required outcome, using existing patterns where possible.
Treat the issue or spec as a strict boundary. Every task, changed file, dependency, test, and design decision must map to an explicit requirement or a demonstrated correctness need. Do not infer new product requirements or add infrastructure, abstractions, migrations, or extra capabilities merely because they may be useful later. Record relevant ideas that are not necessary under Out of scope rather than adding them to the plan.
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.
- 25d ago Changed · -15 lines · +11 tokens per session 2379c0bd78a8
- 1mo ago First seen · 269 lines · 77 tokens per session scan A efda45d24a4a
write-plan is a skill published in the GitHub repository jackfranklin/dotfiles (254 stars, last pushed 6d ago), licensed MIT. It adds 88 tokens to every session and 2,777 once invoked, about $0.0004 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.
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