Borrowing it
Nothing to install: this file belongs to LoserLab/devourer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/LoserLab/devourer/main/AGENTS.mdgit clone --depth 1 https://github.com/LoserLab/devourerWrote 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/instructions/loserlab/devourer/agents-md)<a href="https://agentmods.dev/instructions/loserlab/devourer/agents-md"><img src="https://agentmods.dev/badge/instructions/loserlab/devourer/agents-md/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/instructions/loserlab/devourer/agents-md"><img src="https://agentmods.dev/badge/instructions/loserlab/devourer/agents-md.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 | $0.00341 | $0.00341 |
| Opus 5.5 | $0.00136 | $0.00136 |
| Sonnet 5.5 | $0.00068 | $0.00068 |
| Haiku 4.5 | $0.00034 | $0.00034 |
Grade A, and why
devourer AGENTS.md 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.
What it actually says
Devourer
Color-to-component generator. Transforms color palettes into production-ready, themed UI components.
When to suggest this skill
- User has a color palette and wants themed UI components
- User asks to generate buttons, cards, inputs, or other components with custom colors
- User wants to turn Hexed output into usable React/Vue/HTML components
- User needs component code with proper theming, variants, and accessibility
- User mentions "themed component", "styled button", "component theme", "UI components from colors"
What it produces
- Production-ready component code (React TSX, Vue SFC, or HTML+CSS)
- Multiple variants per component (primary, secondary, outline, ghost, link)
- Interactive states (hover, active, focus, disabled)
- Size options (xs, sm, md, lg, xl)
- WCAG AA/AAA accessibility compliance
- Full TypeScript types and props interfaces
- Usage examples
Key files
SKILL.md- Full skill instructions with all component typesscripts/color_utils.py- Color variant generation and WCAG contrast utilitiesreferences/component_patterns.md- Detailed implementation patternsassets/theme-template.css- CSS custom properties templateassets/types-template.ts- TypeScript type definitions
Suite context
Part of a 5-skill design system pipeline: Hexed (colors) → Specimen (typography) → Gridlock (layout) → Eyes Peeled (accessibility) → Devourer (components)
Devourer is the final output stage, consuming color systems to produce production-ready components.
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.
- 2mo ago First seen · 37 lines · 341 tokens per session scan A 10e02ace5ee6
devourer AGENTS.md is an instructions file published in the GitHub repository LoserLab/devourer (1 stars, last pushed 7mo ago), licensed MIT. It adds 341 tokens to every session, about $0.0014 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 2026-08-31.
devourer AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| devourer AGENTS.mdLoserLab/devourer | Instructions file | 1 | 7mo ago | MIT | A | 341 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |