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.
git clone --depth 1 https://github.com/TheBeardedBearSAS/claude-craftWrote 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.
[](https://agentmods.dev/commands/thebeardedbearsas/claude-craft/golden-update)<a href="https://agentmods.dev/commands/thebeardedbearsas/claude-craft/golden-update"><img src="https://agentmods.dev/badge/commands/thebeardedbearsas/claude-craft/golden-update/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.
<a href="https://agentmods.dev/commands/thebeardedbearsas/claude-craft/golden-update"><img src="https://agentmods.dev/badge/commands/thebeardedbearsas/claude-craft/golden-update.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00006 | $0.02011 |
| Opus 5 | $0.00003 | $0.01006 |
| Sonnet 5 | $0.00001 | $0.00402 |
| Haiku 4.5 | $0.00001 | $0.00201 |
Grade A, and why
golden-update 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mise à jour Golden Tests
Tu es un développeur Flutter senior. Tu dois gérer les golden tests du projet, les mettre à jour après des changements visuels intentionnels et vérifier les régressions.
Arguments
$ARGUMENTS
Arguments :
- Action : update, check, compare
- (Optionnel) Chemin vers un test spécifique
Exemple : /flutter:golden-update update ou /flutter:golden-update check test/widgets/button_test.dart
MISSION
Étape 1 : Comprendre les Golden Tests
Les golden tests comparent le rendu visuel d'un widget avec une image de référence.
// test/widgets/my_button_test.dart
import 'package:flutter/material.dart';
import 'package:flutter_test/flutter_test.dart';
import 'package:my_app/widgets/my_button.dart';
void main() {
group('MyButton Golden Tests', () {
testWidgets('default state', (tester) async {
await tester.pumpWidget(
const MaterialApp(
home: Scaffold(
body: Center(
child: MyButton(label: 'Click me'),
),
),
),
);
await expectLater(
find.byType(MyButton),
matchesGoldenFile('goldens/my_button_default.png'),
);
});
testWidgets('pressed state', (tester) async {
await tester.pumpWidget(
MaterialApp(
home: Scaffold(
body: Center(
child: MyButton(
label: 'Click me',
isPressed: true,
),
),
),
),
);
await expectLater(
find.byType(MyButton),
matchesGoldenFile('goldens/my_button_pressed.png'),
);
});
testWidgets('disabled state', (tester) async {
await tester.pumpWidget(
const MaterialApp(
home: Scaffold(
body: Center(
child: MyButton(
label: 'Click me',
isEnabled: false,
),
),
),
),
);
await expectLater(
find.byType(MyButton),
matchesGoldenFile('goldens/my_button_disabled.png'),
);
});
});
}
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.
- 6d ago First seen · 358 lines · 6 tokens per session scan A 6efef08f8b3f
golden-update is a command published in the GitHub repository TheBeardedBearSAS/claude-craft (105 stars, last pushed 7d ago), licensed MIT. It adds 6 tokens to every session and 2,011 once invoked, about $0.0000 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 2026-09-03.
Other commands, from other repositories
test-plan
Generate a test strategy document — test matrix, coverage goals, and test pyramid allocation for the current project.
test-suite
Run comprehensive test suite with coverage analysis.
deps-update
Audit and update dependencies safely.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.