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Agent skill

Fast Verify

by MAGA2010 in MAGA2010/hackathon-run

Verifies the demo path runs end-to-end by executing each step in order, recording the actual outcome, and stopping at the first failure with a diagnostic.

MITAuto-check passed

Install Fast Verify

skills CLI
$ npx skills add MAGA2010/hackathon-run --skill fast-verify -a claude-code

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

GitHub CLI
$ gh skill install MAGA2010/hackathon-run fast-verify --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/MAGA2010/hackathon-run.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fast-verify .claude/skills/fast-verify && 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
fast-verify
GitHub stars
390
Token cost
~893 tokens
SKILL.md length
299 words
Files
4 (incl. scripts, references)
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Verifies the demo path runs end-to-end by executing each step in order, recording the actual outcome, and stopping at the first failure with a diagnostic.

  • Works in 4 steps: Load the demo path → Run each step in order → Diagnose the first failure → …
  • SKILL.md covers Input contract, Execution, Output contract and Acceptance criteria, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Fast Verify is an agent skill from MAGA2010/hackathon-run. Verifies the demo path runs end-to-end by executing each step in order, recording the actual outcome, and stopping at the first failure with a diagnostic. Use before any demo or submission to catch breakage under time pressure.

Its SKILL.md is about 890 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/error-patterns.md`, `scripts/diagnose.py` and `scripts/verify_step.py`).

The licence is MIT.

Example prompts

  • “Use the fast-verify skill to verify the demo path runs end-to-end by executing each step in order, recording the actual outcome, and stopping at the…”
  • “/fast-verify”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Load the demo path
  2. Run each step in order
  3. Diagnose the first failure
  4. Write outputs

What it can do on your machine

Read from SKILL.md and the folder at commit de3bcfb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    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

Fast Verify loads about 893 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 299 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~893
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.2k

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 passed

The automated check found no risky patterns in SKILL.md.

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); the scripts in this folder are not scanned.

SKILL.md

The full file from MAGA2010/hackathon-run at commit de3bcfb, republished under its MIT licence (© MAGA2010). 299 words, ~893 tokens.

Download SKILL.mdSave it as .claude/skills/fast-verify/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
fast-verify
description
Verifies the demo path runs end-to-end by executing each step in order, recording the actual outcome, and stopping at the first failure with a diagnostic. Use before any demo or submission to catch breakage under time pressure.
when_to_use
Trigger when the user is unsure if the demo will run, just changed code, is about to present, or asks "will this work". Do not invoke for unit tests, code…
version
1
category
verifying
tags
smoke-test, cross-platform, 30-second
dependencies
scope-knife
side_effects
verify
triggers
verify it works, smoke test, does it run, does the demo run, quick check, fast verify
capabilities
fs_read, exec

fast-verify

Input contract

Required:

  • repo_root: project root
  • demo_path: ordered list of steps (from .hackathon/state/plan.json or user-supplied)

Optional:

  • .hackathon/state/verify.json (previous run, for diff)
  • time_budget_minutes: stop verifying after this elapses (default 10)

Execution

1. Load the demo path

If plan.json exists, take plan.demo_path. Otherwise, prompt the user for a list of demo steps.

2. Run each step in order

For each step:

  1. Determine the verification command (see scripts/verify_step.py).
  2. Capture stdout, stderr, exit code.
  3. Classify outcome:
    • PASS: exit code 0 and expected outcome met
    • FAIL: exit code != 0 OR expected outcome missing
    • SKIP: verification command not applicable (e.g. no browser available)
  4. Record attempt, expected, actual, status, duration.

Hard rule: stop at the first FAIL. Do not pretend later steps passed.

3. Diagnose the first failure

If a step fails, run scripts/diagnose.py:

  • Extract the error signature (last 5 lines of stderr).
  • Match against known patterns in references/error-patterns.md.
  • Suggest a one-line minimal fix.
  • Provide a re-verification command.
4. Write outputs
  • .hackathon/state/verify.json (matches verify.schema.json)
  • .hackathon/artifacts/fast-verify-output.md (human-readable run log)
  • .hackathon/state/plan.json (syncs mapped features[].passes + evidence)

Output contract

Files written:

  • .hackathon/state/verify.json (matches src/state/schemas/verify.schema.json)
  • .hackathon/artifacts/fast-verify-output.md (human-readable run log)

Acceptance criteria

  • Verifies in demo-path order.
  • Records actual outcome per step.
  • Stops at first failure.
  • Cannot mark unverified items as PASS.
  • Synchronizes mapped demo-step results back to plan.features[].passes.
  • Emits a one-line fix suggestion for the failing step.

Failure modes

ModeBehavior
Demo path emptyRefuse; ask user to run scope-knife first
Step 1 already failsStop, do not run step 2; report exact failing step
No plan.json and no demo_pathRefuse; cannot verify without a path
Verification command missingMark step SKIP; do not pretend it passed
Diagnose regex finds no matchEmit raw stderr signature + suggest a generic rebuild

Trigger phrases

  • "will it work"
  • "test the demo"
  • "smoke test"
  • "does it still run"
  • "verify the path"

© MAGA2010, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/fast-verify of MAGA2010/hackathon-run.

  • SKILL.md
  • references/error-patterns.md
  • scripts/diagnose.py
  • scripts/verify_step.py

Open the folder on GitHubat commit de3bcfb

Compare with similar skills

Fast Verify 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.

Fast Verify compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fast Verify this skillMAGA2010/hackathon-run390—~893Automated safety check: PassMIT
Verified Script ExecutionHKUDS/OpenSpace7.8k—~1.1kAutomated safety check: PassMIT
Verifyasgeirtj/system_prompts_leaks69k—~3kAutomated safety check: PassCC0-1.0
Executealirezarezvani/claude-skills28k—~831Automated safety check: PassMIT
Debugging Executionsn8n-io/n8n207k—~2.6kAutomated safety check: PassCustom licence
Verify Thiscursor/plugins10k2 repos~693Automated safety check: PassNone

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More from MAGA2010/hackathon-run

All 15 skills in this repo

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  • Demo Coach

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  • Judge Sim

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  • Scope Knife

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  • Time Box

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    Allocates time across the hackathon lifecycle (idea - scope - build - verify - demo - ship) and warns before each deadline slips.

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  • Pivot

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Questions about Fast Verify

What does Fast Verify do?

Verifies the demo path runs end-to-end by executing each step in order, recording the actual outcome, and stopping at the first failure with a diagnostic. Fast Verify is an agent skill from MAGA2010/hackathon-run. Verifies the demo path runs end-to-end by executing each step in order, recording the actual outcome, and stopping at the first failure with a diagnostic.

How do I install Fast Verify in Claude Code?

Run `npx skills add MAGA2010/hackathon-run --skill fast-verify -a claude-code`. Or copy the skill folder (skills/fast-verify in MAGA2010/hackathon-run) into .claude/skills/fast-verify in your project. Claude Code loads it when a task matches its description.

How do I install Fast Verify in Codex?

Run `npx skills add MAGA2010/hackathon-run --skill fast-verify -a codex`. Or copy the skill folder (skills/fast-verify in MAGA2010/hackathon-run) into .agents/skills/fast-verify in your project. Codex loads it when a task matches its description.

Can I use Fast Verify 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 MAGA2010/hackathon-run --skill fast-verify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fast-verify, .gemini/skills/fast-verify, .github/skills/fast-verify and .opencode/skills/fast-verify in your project.

What does Fast Verify need to run?

Going by SKILL.md and its folder, Fast Verify needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Fast Verify 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 Fast Verify safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Fast Verify use?

Fast Verify is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fast Verify use?

About 893 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 338 tokens, read only when the agent opens those files.

What are the alternatives to Fast Verify?

Skills that share tags, products or a category with Fast Verify: Verified Script Execution (HKUDS/OpenSpace, 7.8k stars), Verify (asgeirtj/system_prompts_leaks, 69k stars), Execute (alirezarezvani/claude-skills, 28k stars) and Debugging Executions (n8n-io/n8n, 207k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fast Verify?

MAGA2010 (a GitHub user) maintains it in MAGA2010/hackathon-run, which has 390 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 7, 2026.

Source: MAGA2010/hackathon-run on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.