validate

A quality-check workflow for testing, linting, and validating completed software changes. It checks that the requested implementation is finished before running the relevant verification steps.

In plain words
What is it for?
Use it after implementation to inspect completion artifacts, identify the test strategy, run checks, and repair failures before reporting the result.
Why use it?
It helps catch unfinished work, failing tests, lint problems, and other release-blocking issues before changes are reported as ready.

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/bugroger/beastmode/validate
Any agent
npx skills add BugRoger/beastmode --skill validate
Clone the repo
git clone --depth 1 https://github.com/BugRoger/beastmode

Made for: Claude Code, Codex.

Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,123 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 $0.00023 $0.01123
Opus 5 $0.00012 $0.00562
Sonnet 5 $0.00005 $0.00225
Haiku 4.5 $0.00002 $0.00112

Measured yesterday against content hash 1c942db7e62b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

validate 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.

plugin/skills/validate/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/validate

Verify code changes meet quality standards before release.

Guiding Principles

  • All features must complete implementation before validation begins
  • Fix failures before reporting — attempt repairs, don't just stop at first error
  • Gates are pass/fail — no partial credit, no "close enough"
  • Validate the artifact, not the process — results matter, not how we got there

Phase 0: Pre-Execute

1. Check Feature Completion

Scan for implementation artifacts to verify all features have been implemented:

ls .beastmode/artifacts/implement/*-$epic-*.md 2>/dev/null

Cross-reference against the feature plan files to determine completion status.

Print status:

Feature Completion Check
────────────────────────
✓ feature-1 — completed
✓ feature-2 — completed
✗ feature-3 — pending

Result: BLOCKED — 1 feature still pending

If any features are NOT completed:

  • Print which features are pending
  • STOP — do not proceed to test execution
  • Suggest: "Run /beastmode:implement <epic-name>-<pending-feature> to complete remaining features."

If all completed: proceed to next step.

2. Identify Test Strategy

From context, determine:

  • Test command (e.g., npm test, pytest)
  • Lint command (if configured)
  • Type check command (if configured)
  • Custom gates from design acceptance criteria

Phase 1: Execute

1. Run Tests

<test-command>

Capture output and exit code.

2. Run Lint (if configured)

<lint-command>

3. Run Type Check (if configured)

<type-check-command>

4. Run Custom Gates

Execute any custom gates defined in .beastmode/context/VALIDATE.md.

Phase 2: Validate

1. Analyze Results

Check each gate:

  • Tests: PASS/FAIL
  • Lint: PASS/FAIL/SKIP
  • Types: PASS/FAIL/SKIP
  • Custom: PASS/FAIL/SKIP

2. Determine Overall Status

  • All required gates pass → PASS
  • Any required gate fails → FAIL

2b. Identify Failing Features

Read the full file on GitHub · 214 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 · 214 lines · 23 tokens per session scan A 1c942db7e62b

Subscribe to this mod's changes

validate is a skill published in the GitHub repository BugRoger/beastmode (16 stars, last pushed 4mo ago), licensed MIT. It adds 23 tokens to every session and 1,123 once invoked, about $0.0001 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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