Agent skill

Vero Validate

by sunblaze-ucb in sunblaze-ucb/vero

Use during the validate stage to produce the LLM-review half of validate.json.

Apache-2.0Auto-check: notesAgent Workflows

Install Vero Validate

skills CLI
$ npx skills add sunblaze-ucb/vero --skill vero-validate -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sunblaze-ucb/vero vero-validate --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sunblaze-ucb/vero.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/vero-validate .claude/skills/vero-validate && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
vero-validate
GitHub stars
107
Token cost
~2.2k tokens
SKILL.md length
1,085 words
Files
1
Skills in repo
16
Repo updated
First seen
Licence
Apache-2.0

At a glance

Use during the validate stage to produce the LLM-review half of validate.json.

  • Works in 2 steps: Rule-based (Python, deterministic):… → LLM review (this skill): semantic checks…
  • Tasks that involve Subagents
  • SKILL.md covers Input, Output contract, Prior Memory and The checks, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vero Validate is an agent skill from sunblaze-ucb/vero. Use during the validate stage to produce the LLM-review half of validate.json. Semantic checks (spec intent, idiom, test meaningfulness, review-annotation sanity, spec completeness, repo issue taxonomy) run as tightly-scoped subagent calls against the translated benchmark tree.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Subagents. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/vero-validate”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob, Bash

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Rule-based (Python, deterministic): eight checks implemented in
  2. LLM review (this skill): semantic checks that need judgment

What it can do on your machine

Read from SKILL.md and the folder at commit 0a7325d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob
    • Bash

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Vero Validate loads about 2.2k tokens when it runs. Until then it costs about 73 tokens; SKILL.md has 1,085 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~73
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Grep, Glob, Bash

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sunblaze-ucb/vero at commit 0a7325d, republished under its Apache-2.0 licence (© sunblaze-ucb). 1,085 words, ~2,211 tokens.

Download SKILL.mdSave it as .claude/skills/vero-validate/SKILL.md (or your agent's skills folder).
name
vero-validate
description
Use during the validate stage to produce the LLM-review half of validate.json. Semantic checks (spec intent, idiom, test meaningfulness, review-annotation sanity, spec completeness, repo issue taxonomy) run as tightly-scoped subagent calls against the translated benchmark tree.
allowed-tools
Read, Grep, Glob, Bash

VCG Validate: LLM Review

The validate stage of the curation pipeline has two halves:

  1. Rule-based (Python, deterministic): eight checks implemented in src/vero/curation/validation/checks.py. These cover schema, markers, file roles, build, toolchain, #guard.
  2. LLM review (this skill): semantic checks that need judgment — does the spec capture intent, is the code idiomatic, are tests meaningful, etc., and what repo-specific issue patterns should feed future validation memory.

Use this skill only for the LLM-review half. Rule-based checks never call the LLM.

Reference the canonical shape at reference/BankLedger/. Every check compares the candidate against that shape.

Input

The subagent is handed:

  • benchmark_path — absolute path to the translated Lean project (contains manifest.json, lakefile.toml, <Project>.lean, <Project>/Impl/, <Project>/Spec/, etc.).
  • check_name — which semantic review to run.
  • reference_path — absolute path to reference/BankLedger/ (the canonical benchmark, for shape comparison).

Output contract

A JSON object matching CheckResult from src/vero/curation/validation/types.py:

json
{
  "name": "<check_name>",
  "status": "pass | warn | fail",
  "details": [
    {"severity": "info|warn|error", "message": "...", "location": "file:line | null"}
  ]
}

Emit the JSON as a fenced ```json code block at the end of the reply. Text before the block is allowed (and helpful for debugging).

Rule of thumb for severity:

  • info — positive signal, no action needed.
  • warn — minor issue; pipeline should continue but the curator should look.
  • error — must be fixed before the benchmark is usable.

Overall status rolls up from severities: any error → fail, any warn → warn, else pass.

Prior Memory

If the request includes memory_excerpt, read it before judging. Treat it as reviewed lessons from prior audits, not as proof that the current repo has the same problem. Use it to look for recurring patterns and to avoid repeating known mistakes.

When producing repo_issue_taxonomy, prefer lessons that can later be promoted into deterministic validation rules or stable judge prompts.

The checks

spec_intent_alignment

Claim to verify: every def spec_* (impl : RepoImpl) : Prop := … in <Project>/Spec/*.lean correctly formalizes the English intent in its /-- … -/ docstring (or in the plan.json nl_description).

How to run:

  1. Read plan.json if present (for authoritative NL descriptions); else fall back to each spec's /-- -/ docstring.
  2. For each spec, compare the natural-language description to the Lean body. Ask: "If the Lean body is true, does the English claim hold? And vice versa?"
  3. Flag:
    • error — body contradicts the NL description.
    • warn — body misses a case the NL description implies.
    • info — matches cleanly.
idiom

Claim to verify: the Impl / Harness / Bundle code is idiomatic Lean 4 and matches the paradigm shape.

How to run:

  1. Compare the Impl file structure against reference/BankLedger/BankLedger/Impl/*.lean: types in the foundation file, sig abbrevs in namespace <API>, and def <API>.<fn> : <API>.<FnSig> := <reference impl> inside code markers. Remember that pre-agent generation replaces those bodies with sorry; the curated source should not contain sorry there.
  2. Check <Project>/Bundle.lean: structure <Project>Bundle where with one field per API sig. Field names match the API's Lean name (camelCase).
  3. Check <Project>/Harness.lean: structure RepoImpl where <pkg> : <Project>Bundle; canonical wires via { <pkg> := { … } }. joint_unsat macro present; no other macros.
  4. Flag un-idiomatic patterns: mutable state hacks, #[verifier::external_body]-shaped things, heavy meta-programming where a plain def would do.
test_meaningfulness

Claim to verify: <Project>/Test.lean's #guard assertions probe real behavior (not trivially True), cover the API surface, and include boundary cases.

How to run:

  1. List every #guard in Test.lean.
  2. For each guard, determine what behavior it exercises. Trivial guards (e.g. #guard True, #guard 1 == 1, #guard []) are error.
  3. Check API coverage: does every API in manifest.json.packages[0].modules[].apis[] have at least one guard touching it? Missing coverage is warn.
  4. Check boundary cases: empty inputs, duplicate IDs, zero balances, missing-account paths. Absence of any boundary case is warn.
review_annotations

Claim to verify: !curation @review v1 annotations in Impl/* have sensible content (real concerns, not stale copy-paste).

How to run:

  1. Grep !curation @review across <Project>/Impl/*.lean.
  2. For each line, check the <name> field matches a surrounding definition (within ~5 lines).
  3. Check the <notes> field is non-empty and specific. Generic templates ("TODO", "review this") are warn.
  4. Check the checkbox status ([ ] vs [x]) — if every annotation is [ ] (never reviewed), flag info; if mixed or fully [x], pass.
Show full SKILL.md (434 more words)Show less
spec_completeness

Claim to verify: the per-module spec set in <Project>/Spec/*.lean covers the API's observable behavior.

How to run:

  1. For each module, list APIs (from manifest.json) and specs.
  2. For each API, identify which specs reference it (by name). If any API has zero specs, flag warn.
  3. Check for suspicious absences: e.g., a stateful API that creates new data but no spec asserts the data appears; a partial function with no spec for the failure path.
  4. Don't demand completeness — just flag obvious holes.
repo_issue_taxonomy

Claim to verify: the repo's quality issues can be summarized into a small, reusable taxonomy for future curation/validation.

How to run:

  1. Read the deterministic validation findings, manifest, source-map / plan artifacts if present, and representative Impl/Spec/Test files.
  2. Identify recurring patterns, not one-off typos. Examples: source contract drift, dropped invariants, vacuous specs, parser stubs, manifest/spec mismatch, over-broad trusted axioms, tests that cover constants but not APIs.
  3. For each pattern, cite evidence with source/Lean paths where possible.
  4. Suggest whether the pattern should become:
    • deterministic rule,
    • LLM judge prompt lesson,
    • human review checklist item,
    • repo-local retranslation task.

Use warn for actionable quality patterns and error only when the pattern makes the benchmark unusable without correction.

trusted_boundary

Claim to verify: trusted, opaque, axiom, and external-runtime boundaries are explicit, minimal, and do not hide scored benchmark behavior.

How to run:

  1. Inspect manifest.json, .vero/plan.json if present, Impl/*, Bundle.lean, Harness.lean, representative Spec/*, and Test.lean.
  2. List every trusted or opaque item: opaque, manifest trusted_axioms, trusted-external plan entries, external-runtime wrappers, and any trusted theorem or axiom-like declaration.
  3. Check that trusted items are not manifest-scored APIs or Bundle fields unless the plan explicitly justifies that boundary.
  4. Check that specs mention the trusted boundary concretely rather than becoming self-referential, vacuous, or independent of observable API behavior.
  5. Check that tests do not fake an external result merely to get a #guard; a #check-only API should be reported as a warning unless a trusted-boundary testing policy explains why it is acceptable.

Flag:

  • error — a trusted declaration silently replaces scored behavior, appears as a manifest-scored API without review, or introduces an unreviewed benchmark-specific axiom/sorry.
  • warn — the boundary is explicit but promotion-quality questions remain, such as non-executable callbacks, missing behavior tests, over-broad opaque context, or unclear manifest/bundle metadata.
  • info — the boundary is explicit, minimal, and reflected in specs and tests.

Tone

Be concrete and specific. "spec_withdraw_insufficient's body says amount > bal, NL says insufficient funds — matches." Not "looks good".

Prefer file:line citations in findings (location field).

Keep each check under 15 findings — less is more. If every finding is info, collapse to a single summary finding.

© sunblaze-ucb, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/vero-validate of sunblaze-ucb/vero.

Open the folder on GitHubat commit 0a7325d

Compare with similar skills

Vero Validate next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Vero Validate this skillsunblaze-ucb/vero107—~2.2kAutomated safety check: NotesApache-2.0
Claude Code Agent Developmentanthropics/claude-plugins-official38k7 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25840 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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More from sunblaze-ucb/vero

All 16 skills in this repo
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  • Vero Translate

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  • Vero Coq Pitfalls

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    Load BEFORE translating any Coq item to Lean 4 to avoid known Coq→Lean pitfalls.

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  • Vero Dafny Pitfalls

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    Load BEFORE translating any Dafny item to Lean 4 to avoid known Dafny→Lean pitfalls.

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  • Vero Lean Pitfalls

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    Load BEFORE writing any Lean 4 translation to avoid common Lean pitfalls (universes, coercions, type-class resolution, notation).

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Categories

Questions about Vero Validate

What does Vero Validate do?

Use during the validate stage to produce the LLM-review half of validate.json. Vero Validate is an agent skill from sunblaze-ucb/vero.json.

When should I use Vero Validate?

Vero Validate fits situations like: tasks that involve Subagents.

How do I install Vero Validate in Claude Code?

Run `npx skills add sunblaze-ucb/vero --skill vero-validate -a claude-code`. Or copy the skill folder (.claude/skills/vero-validate in sunblaze-ucb/vero) into .claude/skills/vero-validate in your project. Claude Code loads it when a task matches its description.

How do I install Vero Validate in Codex?

Run `npx skills add sunblaze-ucb/vero --skill vero-validate -a codex`. Or copy the skill folder (.claude/skills/vero-validate in sunblaze-ucb/vero) into .agents/skills/vero-validate in your project. Codex loads it when a task matches its description.

Can I use Vero Validate in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sunblaze-ucb/vero --skill vero-validate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vero-validate, .gemini/skills/vero-validate, .github/skills/vero-validate and .opencode/skills/vero-validate in your project.

What does Vero Validate need to run?

SKILL.md names no scripts, command-line tools or credentials: Vero Validate is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, Bash.

Does Vero Validate access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Vero Validate safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Vero Validate use?

Vero Validate is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vero Validate use?

About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Vero Validate?

Skills that share tags, products or a category with Vero Validate: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vero Validate?

sunblaze-ucb (a GitHub organization) maintains it in sunblaze-ucb/vero, which has 107 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on August 17, 2026.

Source: sunblaze-ucb/vero on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.