bazinga: Skill for Claude Code

.claude/skills/bazinga-validator/SKILL.md

bazinga-validator is a skill for Claude Code from mehdic/bazinga. It costs 52 tokens per session (5,984 once invoked), scanned A, original, MIT.

A final checking procedure for BAZINGA completion claims. It independently reviews whether the reported tests, coverage, evidence, and success criteria really show that a task is complete.

In plain words
What is it for?
Running the final quality gate after a project manager sends BAZINGA; retrieving the session's success criteria; checking evidence and test failures; and returning an ACCEPT or REJECT verdict.
Why use it?
A project manager's completion claim may be incorrect or incomplete. Independent verification catches missing requirements and failed checks before the result is accepted.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths.

This is mehdic/bazinga's own configuration. It tells Claude Code how to work on bazinga 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 bazinga configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 .claude/skills/bazinga-db/scripts/bazinga_db.py --quiet get-events \.

Reuse

Borrowing it

Nothing to install: this file belongs to mehdic/bazinga. 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/mehdic/bazinga/main/.claude/skills/bazinga-validator/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mehdic/bazinga

Made for: Claude Code.

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 bazinga-validator

README.md
[![agentmods](https://agentmods.dev/badge/skills/mehdic/bazinga/bazinga-validator/github.svg)](https://agentmods.dev/skills/mehdic/bazinga/bazinga-validator)
Your own site
<a href="https://agentmods.dev/skills/mehdic/bazinga/bazinga-validator"><img src="https://agentmods.dev/badge/skills/mehdic/bazinga/bazinga-validator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for bazinga-validator

Your own site · 80×15
<a href="https://agentmods.dev/skills/mehdic/bazinga/bazinga-validator"><img src="https://agentmods.dev/badge/skills/mehdic/bazinga/bazinga-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,984 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 $0.00052 $0.05984
Opus 5.5 $0.00021 $0.02394
Sonnet 5.5 $0.00010 $0.01197
Haiku 4.5 $0.00005 $0.00598

Measured 2mo ago against content hash 9805ad3fe1c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

bazinga-validator 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 2mo 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.

.claude/skills/bazinga-validator/SKILL.md · 781 lines

How it starts

The opening of the file, as written. The whole thing — 781 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BAZINGA Validator Skill

You are the bazinga-validator skill. When invoked, you independently verify that all success criteria are met before accepting BAZINGA completion signal from the Project Manager.

When to Invoke This Skill

Invoke this skill when:

  • Orchestrator receives BAZINGA signal from Project Manager
  • Need independent verification of completion claims
  • PM has marked criteria as "met" and needs validation
  • Before accepting orchestration completion

Do NOT invoke when:

  • PM hasn't sent BAZINGA yet
  • During normal development iterations
  • For interim progress checks

Your Task

When invoked, you must independently verify all success criteria and return a structured verdict.

Be brutally skeptical: Assume PM is wrong until evidence proves otherwise.


Step 1: Query Success Criteria from Database

Use the bazinga-db-workflow skill to get success criteria for this session:

Skill(command: "bazinga-db-workflow")

In the same message, provide the request:

bazinga-db-workflow, please get success criteria for session: [session_id]

Parse the response to extract:

  • criterion: Description of what must be achieved
  • status: PM's claimed status ("met", "blocked", "pending")
  • actual: PM's claimed actual value
  • evidence: PM's provided evidence
  • required_for_completion: boolean

Step 2: Independent Test Verification (CONDITIONAL)

Critical: Only run tests if test-related criteria exist.

2.1: Detect Test-Related Criteria

Look for criteria containing:

  • "test" + ("passing" OR "fail" OR "success")
  • "all tests"
  • "0 failures"
  • "100% tests"

If NO test-related criteria found:

→ Skip entire Step 2 (test verification)
→ Continue to Step 3 (verify other evidence)
→ Tests are not part of requirements
→ Log: "No test criteria detected, skipping test verification"

If test-related criteria found:

→ Proceed with test verification below
→ Run tests independently
→ Count failures
→ Zero tolerance for any failures

Read the full file on GitHub · 781 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 781 lines · 52 tokens per session scan A 9805ad3fe1c3

Subscribe to this mod's changes

bazinga-validator is a skill published in the GitHub repository mehdic/bazinga (22 stars, last pushed 9mo ago), licensed MIT. It adds 52 tokens to every session and 5,984 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

tika-eval-compare

Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".

apache/tika · 50 tokens

cua-driver

Use Cua Driver for desktop or browser tasks that are awkward or unavailable through Bash/APIs, or when the user explicitly wants GUI interaction: app testing, visual bug reproduction, form filling, calendar entry, screenshots, and demo recording. Also covers Cua setup; not OpenAI Codex Computer Use or web research.

davidondrej/skills · 68 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens

atmos-validation

Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.

cloudposse/atmos · 31 tokens

skill-benchmark

Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.

HoangNguyen0403/agent-skills-standard · 16 tokens