Borrowing it
Nothing to install: this file belongs to aneja5/forge-skills. 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/aneja5/forge-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/aneja5/forge-skillsWrote 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/aneja5/forge-skills/agents-md)<a href="https://agentmods.dev/instructions/aneja5/forge-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/aneja5/forge-skills/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/aneja5/forge-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/aneja5/forge-skills/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 | $0.03107 | $0.03107 |
| Opus 5.5 | $0.01243 | $0.01243 |
| Sonnet 5.5 | $0.00621 | $0.00621 |
| Haiku 4.5 | $0.00311 | $0.00311 |
Grade A, and why
forge-skills 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 — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Forge Skills for AI coding agents. Skills encode structured engineering workflows — not reference docs. Every skill has a trigger, a process, and a verification gate.
Core Rules
- If a task matches a skill, invoke the skill before doing anything else
- Skills are in
skills/<name>/SKILL.md - Never implement directly when a skill applies
- Follow skill steps in order — do not skip steps
- A task is not complete until the skill's Verification checklist passes
- Every skill ships with pressure-scenario tests in
tests/<name>/(seetests/METHODOLOGY.md)
Intent → Skill Mapping
Grouped by lifecycle phase.
Define & specify
Raw idea / haven't thought it through → idea-griller
Write a spec / PRD / requirements → spec-driven-development
Design
Establish brand foundations / voice → brand-and-identity
Design system / write contracts → architecture-and-contracts
Design REST endpoints / API contracts → api-design
Design schema / migrations → database-design
Establish design tokens / component lib → design-system
Build a component catalog → component-library
Define page templates + responsive plan → page-composition
Build charts / dashboards / data display → data-visualization
Decide modal vs sheet, expand vs nav → interaction-patterns
Validate before building
Research competitors / positioning → competitive-analysis
Plan go-to-market / find customers → gtm-strategy
Will this scale / capacity math → scalability-analysis
Security & compliance review → security-and-compliance
Validate decisions externally → cross-validation
Plan & build
Break into tasks / sprint plan → planning-and-task-breakdown
Implement code / execute tasks → incremental-implementation
Need test-first discipline → tdd
Define test pyramid + coverage targets → testing-strategy
Run multiple agents in parallel → parallel-execution-strategy
Need realistic demo / test data → seed-data-and-fixtures
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 · 277 lines · 3,107 tokens per session scan A 599162e3e0aa
forge-skills AGENTS.md is an instructions file published in the GitHub repository aneja5/forge-skills (3 stars, last pushed 5mo ago), licensed MIT. It adds 3,107 tokens to every session, about $0.0124 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.