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 stepanenkoviktor0110-boop/ai-dev-methodology-codex --skill write-codegit clone --depth 1 https://github.com/stepanenkoviktor0110-boop/ai-dev-methodology-codexWrote 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/stepanenkoviktor0110-boop/ai-dev-methodology-codex/write-code)<a href="https://agentmods.dev/skills/stepanenkoviktor0110-boop/ai-dev-methodology-codex/write-code"><img src="https://agentmods.dev/badge/skills/stepanenkoviktor0110-boop/ai-dev-methodology-codex/write-code/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/stepanenkoviktor0110-boop/ai-dev-methodology-codex/write-code"><img src="https://agentmods.dev/badge/skills/stepanenkoviktor0110-boop/ai-dev-methodology-codex/write-code.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 | $0.00010 | $0.00057 |
| Opus 5.5 | $0.00004 | $0.00023 |
| Sonnet 5.5 | $0.00002 | $0.00011 |
| Haiku 4.5 | $0.00001 | $0.00006 |
Grade A, and why
write-code 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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 · 10 lines · 10 tokens per session scan A 7a208403f286
write-code is a skill published in the GitHub repository stepanenkoviktor0110-boop/ai-dev-methodology-codex (1 stars, last pushed 6mo ago), with no licence file. It adds 10 tokens to every session and 57 once invoked, about $0.0000 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 2026-08-31.
Other skills, from other repositories
tdd
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
verification-and-release
Design risk-based verification and judge release readiness from traceable evidence. Use when deciding what must be proven or whether an integrated change can ship.
implement
Implement a spec or a single ticket, driving TDD at the seams agreed in the spec.
production-engineering-workflows
End-to-end production engineering workflows that encode the complete software development lifecycle into repeatable, quality-gated agent commands. Covers everything from spec-driven ideation through planning, test-driven implementation, automated testing, rigorous code review, web performance auditing, code…
write-code
Write code with quality process - TDD, reviews (uses code-writing skill).
sparc-methodology
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration.