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.
npx agentmods add instructions/fluxonlab/skillry/copilot-instructionsgit clone --depth 1 https://github.com/FluxonLab/SkillryWhat 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 | $0.02018 | $0.02018 |
| Opus 5 | $0.01009 | $0.01009 |
| Sonnet 5 | $0.00404 | $0.00404 |
| Haiku 4.5 | $0.00202 | $0.00202 |
Grade C, and why
Skillry copilot-instructions.md scanned grade C with 1 finding 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 2d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- GENERATED from CLAUDE.md by tools/build-agent-instructions.py — do not edit directly. --> The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 2d ago First seen · 154 lines · 2,018 tokens per session scan C b7b4bf057fd6
Skillry copilot-instructions.md is an instructions file published in the GitHub repository FluxonLab/Skillry (2 stars, last pushed 4d ago), with no licence file. It adds 2,018 tokens to every session, about $0.0101 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
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sam AGENTS.md
Instructions for sam-agents/sam, covering agents.md - agent coding guidelines for sam, project overview, build / lint / test commands, testing the cli and test cli locally (interactive mode).
ai-workspace-archive copilot-instructions.md
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capy CLAUDE.md
Claude Code instructions for serpro69/capy, covering claude.md, project, architecture, key packages and critical invariants.
awesome-agentic-AI-coding-template AGENTS.md
Instructions for florian101010/awesome-agentic-AI-coding-template, covering agents.md, project overview, architecture (must-know), file structure and coding rules.