classify-github-flakes

classify-github-flakes is a skill for Claude Code, Codex from Mimirs402/bountyverdict. It costs 74 tokens per session (1,002 once invoked), scanned A, original, MIT.

A read-only tool for judging whether a completed public GitHub Actions workflow failure is probably a temporary, repeatable, or new problem. GitHub Actions is GitHub’s service for running automated builds and tests.

In plain words
What is it for?
Use it to classify a public GitHub Actions run as a confirmed or likely temporary failure, a recurring failure, a new failure, an inconclusive result, or not currently failed.
Why use it?
It helps decide whether retrying a failed workflow is sensible before spending a retry. The decision is based on public evidence such as other attempts and results from the same commit.

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/mimirs402/bountyverdict/classify-github-flakes
Any agent
npx skills add Mimirs402/bountyverdict --skill classify-github-flakes
Clone the repo
git clone --depth 1 https://github.com/Mimirs402/bountyverdict

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 classify-github-flakes

README.md
[![agentmods](https://agentmods.dev/badge/skills/mimirs402/bountyverdict/classify-github-flakes.svg)](https://agentmods.dev/skills/mimirs402/bountyverdict/classify-github-flakes)
Your own site
<a href="https://agentmods.dev/skills/mimirs402/bountyverdict/classify-github-flakes"><img src="https://agentmods.dev/badge/skills/mimirs402/bountyverdict/classify-github-flakes.svg" alt="Measured on agentmods" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,002 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 $0.00074 $0.01002
Opus 5 $0.00037 $0.00501
Sonnet 5 $0.00015 $0.00200
Haiku 4.5 $0.00007 $0.00100

Measured 3d ago against content hash 86c67ed109f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

classify-github-flakes 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/classify-github-flakes/SKILL.md · 56 lines

How it starts

The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Classify GitHub Flakes

Use FlakeVerdict as a read-only retry gate. It inspects public GitHub Actions evidence and never reruns CI or executes repository code.

Resolve the exact service

  1. Read https://mimirs402.github.io/bountyverdict/agent-manifest.json for availability, then require its production_api to equal the exact origin https://bountyverdict-agent-production.mimirslab.workers.dev.
  2. Inspect the free sample at that origin and its /openapi.json document.
  3. Accept only a canonical public run URL shaped like https://github.com/OWNER/REPO/actions/runs/RUN_ID with no credentials, query, fragment, job suffix, or alternate host.
  4. Add attempt only when selecting a known positive run-attempt integer. Omit it to inspect the latest available attempt.

Construct the exact resource as:

POST https://bountyverdict-agent-production.mimirslab.workers.dev/api/github-actions-flake-retry-gate
Content-Type: application/json

{"run_url":"<CANONICAL_RUN_URL>","attempt":<OPTIONAL_POSITIVE_INTEGER>}

Do not send credentials, private-repository URLs, pasted logs, or arbitrary text.

Verify before paying

Make the exact request without payment first. Require all of these before authorizing payment:

  • HTTP 402 using x402 v2 and the exact scheme;
  • exact service name FlakeVerdict and Bazaar method POST with a strict JSON body;
  • exact production origin and exact resource URL constructed above, with no query parameters;
  • Base mainnet network eip155:8453;
  • canonical Base USDC asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913;
  • exact recipient 0x4aa55988fA032FBbB8DDEf496b0f194FEc62D614;
  • an amount no greater than 70000 atomic units (0.07 USDC).

Bind the payment client to that exact origin, network, asset, recipient, service, method, resource, and 70,000-atomic cap. Standard x402 authorizes the resource URL rather than the POST body, so verify the advisory normalized-body SHA-256 and preserve the exact validated JSON on the signed retry. Reject any redirect, changed challenge, body change, additional payment option, or mismatch. Never reveal wallet secrets, seed phrases, API keys, private keys, or payment signatures. After a timeout or ambiguous response, reconcile the wallet and settlement state before considering another identical request; never pay blindly twice.

Read the full file on GitHub · 56 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. 3d ago First seen · 56 lines · 74 tokens per session scan A 86c67ed109f7

Subscribe to this mod's changes

classify-github-flakes is a skill published in the GitHub repository Mimirs402/bountyverdict (1 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 1,002 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

use-vercel-action

Wire amondnet/vercel-action into a GitHub Actions workflow to deploy Vercel projects from CI. Use when the user asks to deploy to Vercel from GitHub Actions, add Vercel preview deploys, post a Vercel preview URL on a PR, configure prebuilt Vercel deployments, set up alias domains for previews, create a GitHub…

amondnet/vercel-action · 151 tokens

agents-shipgate

Run prominent Agents Shipgate flows when a change touches what an AI agent can do: shipgate check, agents-shipgate verify, or shipgate audit --host. Use after adding or modifying MCP servers or tools, tool/function definitions (@tool, @functiontool), OpenAPI specs that describe agent tools, agent prompts, permission…

ThreeMoonsLab/agents-shipgate · 212 tokens

agents-shipgate

Use when the user wants to run the prominent Agents Shipgate flows — shipgate check, agents-shipgate verify, or shipgate audit --host — for AI agent capability changes, PR release readiness, or coding-agent host grants.

ThreeMoonsLab/agents-shipgate · 56 tokens

github-workflow-automation

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management.

aegntic/cldcde · 26 tokens

github-actions-workflow

Scaffolds or audits a GitHub Actions CI/CD workflow for a project. Covers job structure, caching, secrets handling, concurrency groups, environment gates, and reusable workflows via workflowcall. Invoked when the user asks to set up CI, add a GitHub Actions workflow, improve pipeline performance, or share workflow…

soulcodex/agentic · 72 tokens

astro-github-actions

Sets up GitHub Actions CI/CD workflows for Astro sites — astro check (TypeScript + content schema), ESLint, Prettier, build verification, Vitest testing, Lighthouse CI, link checking, npm audit, and automated deployment to GitHub Pages, Cloudflare Pages, Netlify, or Vercel. ALWAYS use this skill when a user wants to…

jdevalk/skills · 304 tokens