Borrowing it
Nothing to install: this file belongs to felipepg22/FPGSkills. 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/felipepg22/FPGSkills/main/AGENTS.mdgit clone --depth 1 https://github.com/felipepg22/FPGSkillsWrote 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/felipepg22/fpgskills/agents-md)<a href="https://agentmods.dev/instructions/felipepg22/fpgskills/agents-md"><img src="https://agentmods.dev/badge/instructions/felipepg22/fpgskills/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/felipepg22/fpgskills/agents-md"><img src="https://agentmods.dev/badge/instructions/felipepg22/fpgskills/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 | $0.00779 | $0.00779 |
| Opus 5.5 | $0.00312 | $0.00312 |
| Sonnet 5.5 | $0.00156 | $0.00156 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade A, and why
FPGSkills 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 1mo 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository instructions
Scope
Apply these instructions across the repository. FPGSkills contains portable agent definitions and directly installable skill payloads; keep behavior in canonical sources and distribution artifacts reproducible.
Essential workflow
- Use Node.js 22.20.0 or newer and install dependencies with
npm install. - Keep changes scoped and preserve platform and host permission precedence.
- Use the root scripts as the canonical checks:
npm run generateregenerates Task Executor adapters.npm testbuilds workspaces and runs repository tests.npm run validatechecks generated adapters and skill payloads.npm run pack:checkverifies the Task Executor package contents.
- Run focused checks while iterating, then run all checks relevant to the changed artifact before completion. Documentation-only changes need only focused checks.
Repository boundaries
- Treat every directory directly under
skills/as an installable runtime payload. Keep tests, evaluations, package configuration, and other development-only files outside those directories. Seedocs/architecture.md. - Put reusable agents under
agents/, repository-wide guidance underdocs/, and shared tooling underpackages/only after it has a proven cross-artifact use. - Do not add agent-specific installation paths to portable skill payloads.
- Update user-facing documentation when installation or distribution behavior changes.
Route by task
Task Executor
- Before changing Task Executor, read
agents/task-executor/README.mdandCONTRIBUTING.md. - Edit
agents/task-executor/agent.jsonfor metadata andagents/task-executor/core/prompt.mdfor behavior. Do not edit generated files underagents/task-executor/adapters/directly. - After canonical-source changes, run
npm run generate, inspect every changed adapter, then runnpm test,npm run validate, andnpm run pack:check. - When behavior changes, run the relevant manual scenarios documented in
agents/task-executor/evals/README.md.
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.
- 1mo ago First seen · 77 lines · 779 tokens per session scan A 5e337c16275c
FPGSkills AGENTS.md is an instructions file published in the GitHub repository felipepg22/FPGSkills (11 stars, last pushed 8d ago), licensed MIT. It adds 779 tokens to every session, about $0.0031 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 2026-09-25.
FPGSkills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| FPGSkills AGENTS.mdfelipepg22/FPGSkills | Instructions file | 11 | 8d ago | MIT | A | 779 | 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 |