attune-ai: Skill for Claude Code

.agents/skills/verify/SKILL.md

verify is a skill for Claude Code, Codex from Smart-AI-Memory/attune-ai. It costs 54 tokens per session (1,369 once invoked), scanned A, original, Apache-2.0.

A fact-checking workflow for checking generated documentation against the project's actual files and commands.

In plain words
What is it for?
Verifying imports, CLI flags, links, numeric claims, and other statements in READMEs, tutorials, and similar content.
Why use it?
It catches claims that tests may not detect, such as nonexistent imports or command options, broken links, and incorrect counts.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is Smart-AI-Memory/attune-ai's own configuration. It tells Claude Code and Codex how to work on attune-ai itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything attune-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Smart-AI-Memory/attune-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Smart-AI-Memory/attune-ai/main/.agents/skills/verify/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Smart-AI-Memory/attune-ai

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 verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/verify.svg)](https://agentmods.dev/skills/smart-ai-memory/attune-ai/verify)
Your own site
<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/verify"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/verify.svg" alt="Measured on agentmods" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,369 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00054 $0.01369
Opus 5 $0.00027 $0.00685
Sonnet 5 $0.00011 $0.00274
Haiku 4.5 $0.00005 $0.00137

Measured 3d ago against content hash 271d623eb3dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

verify 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/skills/verify/SKILL.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verify

IMPORTANT: Start your response by telling the user:

Verify — Fact-checking the named entities in this content against the project as source-of-truth.

What It Does

/verify is the output-side fact-checker for LLM-generated content (docs, READMEs, tutorials). It catches the hallucination classes that unit tests never see — an invented CLI flag, an import of a package that doesn't exist, a dead cross-reference, a wrong count — by confirming the named entities in the content actually exist.

It runs in two layers:

  1. Deterministic checkers (attune_verify, authoritative): the top-level package of each import resolves via find_spec, CLI flags appear in --help, markdown links resolve under the project root, numeric claims match a declared count source. These are ground truth — no LLM, no guessing.
  2. Ambient semantic cross-check (you, the agent): after the deterministic pass, read the content against its source and flag claims the checkers can't see (a security caveat dropped, a route path that's plausible-but-wrong, a private submodule of an installed package that doesn't actually exist — the import checker only validates the top-level package, so from pkg.fake_sub import X passes deterministically when pkg is installed). This layer is a cross-check only — it over-flags on truncated context, so never let it override a deterministic pass. If the deterministic layer says a top-level import resolves, it resolves.

How To Run It

Shared command workspace (preferred)

Open adapter verify with the validated generated-content path and optional hard_gate=true for pipeline callers. The invocation authorizes this read-only run, so there is no confirmation action. Execute attune_verify.verify exactly as below and publish its authoritative outcome as deterministic_result, retaining every finding's kind, severity, detail, evidence, and location.

Perform the ambient semantic pass only after the deterministic result and publish it as cross_check_result. Ambient findings remain explicitly labeled warnings and cannot override deterministic entity-existence results. In hard gate mode, any deterministic error keeps hard_gate_passed=false. Checker or cross-check failure must render “did not complete,” never a clean report. Present the terminal widget or Markdown and preserve the full evidence chain in text fallback.

Read the full file on GitHub · 139 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. 3d ago Changed · +17 lines 271d623eb3dc
  2. 7d ago First seen · 122 lines · 54 tokens per session scan A 88040a629c8a

Subscribe to this mod's changes

verify is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 54 tokens to every session and 1,369 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 2026-08-31.