An end-to-end workflow for taking a product idea or repository through research, design, implementation, testing, release, and follow-up learning.

Use it to coordinate product planning, UX, development, independent testing, marketing, GitHub publication, deployment, and post-release review.

It keeps evidence, responsibilities, permissions, and release checks explicit across the product process.

aquiles — Skill for Codex by luizvb

Install

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.

Any agent

npx skills add luizvb/aquiles-skill --skill aquiles

Clone the repo

git clone --depth 1 https://github.com/luizvb/aquiles-skill

Made for: Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/luizvb/aquiles-skill/aquiles.svg)](https://agentmods.dev/skills/luizvb/aquiles-skill/aquiles)

Your own site

<a href="https://agentmods.dev/skills/luizvb/aquiles-skill/aquiles"><img src="https://agentmods.dev/badge/skills/luizvb/aquiles-skill/aquiles.svg" alt="Measured on agentmods" height="20"></a>

Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,541 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00131	$0.02541
Opus 5	$0.00066	$0.01270
Sonnet 5	$0.00026	$0.00508
Haiku 4.5	$0.00013	$0.00254

Measured 8d ago against content hash 688b49f07d1e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

aquiles 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 8d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/bootstrap_product.py, scripts/bootstrap_run.py, scripts/preflight.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/aquiles/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Aquiles

Own the outcome from uncertainty to a verified production release. Preserve specialist boundaries, externalize state, and make every handoff testable.

Core invariants

Treat the target repository and its local instructions as the source of truth.
Separate observed facts, user statements, assumptions, and recommendations.
Never claim research, tests, browser checks, GitHub state, deploy state, or production behavior without direct evidence.
Never expose secrets, .env contents, tokens, personal data, or private repository material in output, logs, commits, or marketing.
Distinguish technical access from mutation authorization. Authentication is not permission to push, create a remote, deploy, change DNS, or touch production.
Do not let one specialist silently redefine another specialist's approved contract.
Keep the smallest coherent scope that can prove the product thesis.
Do not declare completion until the relevant release gates pass or the residual gaps are explicit.
Treat a user-specified phase ceiling as a hard stop. Scaffolding may create blank reusable templates, but never populate or execute later phases beyond the authorized ceiling.

Start every run

Read repository-level instructions such as AGENTS.md, CLAUDE.md, contribution guides, and the current run or plan.
Resolve the target workspace. Preserve existing user changes and inspect the current Git state before editing.
Use the host's canonical run protocol. If none exists, copy assets/aquiles-run.md to .aquiles/run.md with scripts/bootstrap_run.py.
For an empty greenfield workspace, prefer scripts/bootstrap_product.py --workspace <target> --product <name> to create the complete starter evidence set. The script refuses overwrites and selects no product license by default; pass --license MIT --license-holder <holder> only when licensing is explicitly intended.
Execute python3 scripts/preflight.py --workspace <target> --json from this skill directory.
Record an access matrix containing:
- Git repository, branch, worktree state, and remotes;
- GitHub CLI availability, authenticated account, and intended owner/repository;
- Vercel CLI availability, authenticated account, linked project, team/scope, and intended production target;
- whether design-taste-frontend is installed;
- explicit user authorization: local_edits, commit, create_remote, push, preview_deploy, production_deploy, domain_or_env_changes.
State the next bounded action and its evidence requirement before acting.

Read the full file on GitHub · 153 lines

Files

What ships with it

24 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.

Changes

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.

8d ago First seen · 153 lines · 131 tokens per session scan A 688b49f07d1e

Subscribe to this mod's changes

aquiles is a skill published in the GitHub repository luizvb/aquiles-skill (2 stars, last pushed 1mo ago), licensed MIT. It adds 131 tokens to every session and 2,541 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 2026-08-31.

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