Borrowing it
Nothing to install: this file belongs to pavel-molyanov/molyanov-ai-dev. 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/pavel-molyanov/molyanov-ai-dev/main/.codex/skills/code-writing/SKILL.mdgit clone --depth 1 https://github.com/pavel-molyanov/molyanov-ai-devWrote 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/pavel-molyanov/molyanov-ai-dev/code-writing)<a href="https://agentmods.dev/skills/pavel-molyanov/molyanov-ai-dev/code-writing"><img src="https://agentmods.dev/badge/skills/pavel-molyanov/molyanov-ai-dev/code-writing/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/pavel-molyanov/molyanov-ai-dev/code-writing"><img src="https://agentmods.dev/badge/skills/pavel-molyanov/molyanov-ai-dev/code-writing.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 | $0.00136 | $0.01128 |
| Opus 5 | $0.00068 | $0.00564 |
| Sonnet 5 | $0.00027 | $0.00226 |
| Haiku 4.5 | $0.00014 | $0.00113 |
Grade A, and why
code-writing 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 11d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Writing
Understand the Change
- Extract the requested behavior and what done means from the request or user-spec. Resolve ambiguity from repository evidence; ask only when a substantive choice changes the result or scope.
- Read repository instructions, affected code, its usages, and only the project documentation needed to change it safely. A localized edit needs local context; cross-cutting work needs its contracts, architecture, and relevant patterns.
- For non-trivial work, read every source file that will change, find affected contracts and reusable code, and establish the smallest useful baseline check. Inspect generated, lock, snapshot, or other mechanical artifacts through their generator, relevant diff, and deterministic validation rather than an unhelpful full read.
- Discuss the approach before editing only when evidence exposes a substantive fork, risk, or scope decision. Otherwise choose the smallest safe implementation that follows project or framework conventions.
- Treat a new idea, risk, edge case, or opportunity discovered during implementation or review as a proposal, not authorization. A rare or unagreed scenario is a user decision even when its correction looks local. Correct autonomously only an authorized local defect in agreed normal behavior; ask before adding behavior, state, entities, contracts, dependencies, architecture, or material complexity.
Implement and Verify
- Implement only the requested behavior. Reuse existing capabilities before adding abstractions or dependencies. Do not add speculative validation, fallbacks, configuration, optimization, or future flexibility without a current requirement or realistic project condition.
- Validate untrusted input at its boundary, keep secrets out of source, preserve useful error information, and handle failures where the program can recover or add context.
- Let straightforward code explain itself. Comment only when code cannot communicate the reason for a business rule, safety invariant, external constraint, compatibility workaround, deliberate tradeoff, or required ordering.
- When the change can alter observable behavior, apply
test-masterto select and run the protecting tests. If it has no test subject, state that instead of creating artificial assertions. - Run the smallest supported lint, format, type, build, render, and user-requested checks that cover the change. Use a project-wide command only when it is the available entrypoint or the change is cross-cutting. Separate unrelated baseline failures from regressions.
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.
- 11d ago First seen · 95 lines · 136 tokens per session scan A 407ccaf5020a
code-writing is a skill published in the GitHub repository pavel-molyanov/molyanov-ai-dev (285 stars, last pushed 18d ago), licensed MIT. It adds 136 tokens to every session and 1,128 once invoked, about $0.0007 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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