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 feature-executiongit 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/feature-execution)<a href="https://agentmods.dev/skills/stepanenkoviktor0110-boop/ai-dev-methodology-codex/feature-execution"><img src="https://agentmods.dev/badge/skills/stepanenkoviktor0110-boop/ai-dev-methodology-codex/feature-execution/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/feature-execution"><img src="https://agentmods.dev/badge/skills/stepanenkoviktor0110-boop/ai-dev-methodology-codex/feature-execution.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 | $0.00073 | $0.02577 |
| Opus 5.5 | $0.00029 | $0.01031 |
| Sonnet 5.5 | $0.00015 | $0.00515 |
| Haiku 4.5 | $0.00007 | $0.00258 |
Grade A, and why
feature-execution scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Верифицируй результат в реальной среде** (Seen: 4): После деплоя — curl/лог/проверка. Не объявлять "готово" без подтверждения работы. Для cron — лог через 5 мин. При READY/200 OK — дополнительно grep уникальный марке 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 ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 174 lines · 73 tokens per session scan A 9a7297966375
feature-execution 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 73 tokens to every session and 2,577 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
github-operations
GitHub CLI operations for issues, PRs, milestones, and Projects v2. Covers gh commands, REST API patterns, and automation scripts. Use when managing GitHub issues, PRs, milestones, or Projects with gh.
effect-ledger
Record an effect, sign an effect, reconcile an effect or check "did this PR merge" through the signed AIWG effect ledger, using one aiwg effect command with scriptable exit codes.
onboard
Scan and diagnose a project, or scaffold a new client from scratch. Works for code and venture clients. Auto-detects project type.
issue-workflow
A workflow that turns a GitHub Issue, a tracked development task, into an approved implementation plan and then code. It retrieves the issue, creates a branch, writes development documents, waits for approval, and implements only the approved scope.
run-task
Run pending steps, then aftertask finalization; does not close the task.
finish-task
Deprecated alias for close-task.