evals

A specification-checking skill that measures whether a feature’s implementation covers its acceptance criteria, meaning the conditions that define when the feature works. It also reports open SPEC_DEVIATION items, which are differences between the agreed specification and the implementation.

In plain words
What is it for?
Use it to evaluate each feature, check whether acceptance criteria have tasks and test references, review edge cases, and produce a fidelity score with identified gaps.
Why use it?
It exposes missing traceability between requirements, development tasks, tests, and code, so gaps are easier to fix or formally accept.

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/igoruehara/spec-driven/evals
Any agent
npx skills add igoruehara/spec-driven --skill evals
Clone the repo
git clone --depth 1 https://github.com/igoruehara/spec-driven

Made for: Claude Code, Codex.

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 363 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 $0.00055 $0.00363
Opus 5 $0.00028 $0.00181
Sonnet 5 $0.00011 $0.00073
Haiku 4.5 $0.00006 $0.00036

Measured 3d ago against content hash d755c86570b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

evals 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.

template/.claude/skills/evals/SKILL.md · 27 lines

What it actually says

Skill: Evals de fidelidade spec→código

Mede se o que foi construído reflete a spec — a métrica de qualidade da saída do agente. Duas camadas: determinística (script) e de julgamento.

1. Camada determinística

node scripts/eval-spec-fidelity.mjs .

Reporta, por feature: AC totais, cobertos por task, referenciados em teste/código e SPEC_DEVIATION abertos. Falha (exit 1) se algum AC não tem task — rastreabilidade quebrada. Referência em teste é aviso até a feature ser implementada.

2. Camada de julgamento (o script não pega isso)

  • O teste de cada AC-N realmente exercita o Given/When/Then — ou só cita o ID num teste vazio?
  • A implementação cobre os casos de borda e respeitou o "Fora de escopo" da spec?
  • Os SPEC_DEVIATION abertos têm resolução (corrigir código ou atualizar a spec/ADR)?

Saída

Score por feature + os gaps. Complementa o /validar (UAT de uma feature) com uma visão de fidelidade do portfólio. O mesmo eval roda na CI (esteira.yml) — aqui é o complemento com julgamento.

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 · 27 lines · 55 tokens per session scan A d755c86570b3

Subscribe to this mod's changes

evals is a skill published in the GitHub repository igoruehara/spec-driven (213 stars, last pushed 1mo ago), licensed MIT. It adds 55 tokens to every session and 363 once invoked, about $0.0003 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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