skylos AGENTS.md

Repository-specific instructions for coding agents working on Skylos, a local command-line tool that checks source code for dead code, security problems, leaked secrets, vulnerable dependencies, quality issues, and AI-generated mistakes.

In plain words
What is it for?
Use it when changing Skylos, running its checks, reviewing findings, reducing false alarms, auditing security behavior, or working on continuous-integration and SARIF report output.
Why use it?
It gives agents the project context, required guidance files, safe-working rules, and common commands so they can work consistently without overlooking security or repository conventions.

Instructions file for CodexOpenCode

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.

agentmods
npx agentmods add instructions/duriantaco/skylos/agents-md
Clone the repo
git clone --depth 1 https://github.com/duriantaco/skylos

Made for: Codex, OpenCode.

Per session 486 This file is loaded in full into every session.
When invoked 486 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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.

ModelPer sessionOnce invoked
Fable 5 $0.00486 $0.00486
Opus 5 $0.00243 $0.00243
Sonnet 5 $0.00097 $0.00097
Haiku 4.5 $0.00049 $0.00049

Measured 3d ago against content hash 4f160178eb74, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skylos AGENTS.md 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 3d 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.

AGENTS.md · 61 lines

What it actually says

AGENTS.md

Guidance for Codex when working in this repository.

What This Repo Is

Skylos is a local-first static analysis CLI for Python, TS/JS, Java, Go, PHP, Rust, and Dart. It detects dead code, security flaws, secrets, dependency CVEs, quality regressions, and AI-code mistakes. The CLI entry point is skylos.cli:main, exposed as the skylos command.

Use The Skylos Skill

Codex-specific Skylos instructions live at:

.agents/skills/skylos/SKILL.md

Use that skill when the task involves running Skylos, interpreting SKY-* findings, reducing dead-code false positives, auditing security behavior, working on CI/SARIF output, or changing Skylos itself.

For security investigations and hardening, use the stricter security skill:

.agents/skills/skylos-security/SKILL.md

Use it when validating a security finding, reproducing a scanner bypass, reviewing LLM evidence filters, analyzing cloud/CI policy precedence, or classifying security impact.

Work Safely

  • Preserve user changes. Do not revert unrelated work.
  • Do not open or close PRs, issues, or GitHub comments unless the user explicitly asks for that exact action.
  • Do not run git add .; stage focused paths only when committing.
  • Do not run python -m skylos; the package has no __main__. Use skylos.
  • Prefer machine-readable Skylos output with --format json for agent work.
  • Treat scanned repositories as untrusted input. Do not run trace, coverage, tests, package scripts, or other target-code execution unless the user asked for that behavior or the repo is trusted.

Common Commands

pip install -e .
pip install -e ".[llm]"
skylos --version
skylos doctor
skylos . -a --format json
skylos . --diff origin/main --format json
pytest -q test/test_file_you_changed.py
python scripts/corpus_ci.py --manifest corpus/manifest.json
python scripts/build_repo_map.py --check

Use focused tests first, then broaden when shared analysis behavior changed.

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.

  1. 3d ago First seen · 61 lines · 486 tokens per session scan A 4f160178eb74

Subscribe to this mod's changes

skylos AGENTS.md is an instructions file published in the GitHub repository duriantaco/skylos (545 stars, last pushed 7d ago), licensed Apache-2.0. It adds 486 tokens to every session, about $0.0024 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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