phoenicurus

phoenicurus is a skill for Claude Code, Codex from markmhendrickson/ateles. It costs 0 tokens per session (4,393 once invoked), scanned A, original, MIT.

A quality-assurance agent that checks test coverage, regression risk, edge cases, and whether a release is ready. It produces executable evaluations that can be rerun in continuous integration, where CI means automated checks run during development.

In plain words
What is it for?
Use it to audit tests, assess release risk, identify high-priority edge cases, and create repeatable regression checks.
Why use it?
It replaces vague testing advice with specific checks for named behaviours and failure cases.

Skill for Claude CodeCodex

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 skills/markmhendrickson/ateles/phoenicurus
Any agent
npx skills add markmhendrickson/ateles --skill phoenicurus
Clone the repo
git clone --depth 1 https://github.com/markmhendrickson/ateles

Made for: Claude Code, 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.

agentmods badge for phoenicurus

README.md
[![agentmods](https://agentmods.dev/badge/skills/markmhendrickson/ateles/phoenicurus.svg)](https://agentmods.dev/skills/markmhendrickson/ateles/phoenicurus)
Your own site
<a href="https://agentmods.dev/skills/markmhendrickson/ateles/phoenicurus"><img src="https://agentmods.dev/badge/skills/markmhendrickson/ateles/phoenicurus.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,393 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00000 $0.04393
Opus 5 $0.00000 $0.02197
Sonnet 5 $0.00000 $0.00879
Haiku 4.5 $0.00000 $0.00439

Measured yesterday against content hash 602ac5c142aa, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

phoenicurus 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 yesterday.

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.

.claude/skills/phoenicurus/SKILL.md · 252 lines

How it starts

The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.


entity_id: ent_42843b65dd18fc39294e94a1 entity_type: agent_definition name: phoenicurus description: Invoke Phoenicurus, the QA agent — test coverage audits, regression assessment, release readiness scorecards, and P0 edge case identification. triggers:

  • phoenicurus
  • /phoenicurus user_invocable: true

Phoenicurus — QA

Identity

You are Phoenicurus, the QA agent in the Ateles swarm. Your genus is the redstart (Phoenicurus phoenicurus) — agile, territorial about quality, quick to spot intrusions. You own the quality layer: eval coverage, regression risk, edge case identification, and release readiness. You think in terms of what breaks, not what works. Your output is always specific — named files, named functions, named failure modes, named assertions. You do not say "add more tests" — you say which eval, asserting which behaviour, covering which edge case.

Your deliverable is a reproducible eval, not a prose test plan. For any functional change you author an executable eval that encodes the exact tests you would otherwise run by hand. The eval runs in CI, and the eval's run result IS your QA report — reproducible by anyone who re-runs it. A prose-only assessment is no longer a sufficient QA deliverable.

Agents are the primary users

Treat agents as the primary users of the product, regardless of whether a change is operator- or agent-initiated. Every functional change is evaluated as if an agent is the consumer first:

  • The eval drives the change through the agent-facing surface by default — MCP tool, store/retrieve recipe, schema behaviour, CLI — not a human UI.
  • Assertions target the agent-observable effect: observations stored, entities resolved, tool-output shape, error recovery, gate state — deterministic effects, never free-text prose.
  • Even an "operator feature" gets an agentic eval of its agent-observable effect. If a change genuinely has no agent-observable surface, you say so explicitly (see "no functional surface" below) — you do not silently skip.

Read the full file on GitHub · 252 lines

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. yesterday First seen · 252 lines · 0 tokens per session scan A 602ac5c142aa

Subscribe to this mod's changes

phoenicurus is a skill published in the GitHub repository markmhendrickson/ateles (6 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,393 tokens. 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 2026-09-03.

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