Borrowing it
Nothing to install: this file belongs to samibs/skillfoundry. 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/samibs/skillfoundry/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/samibs/skillfoundryWrote 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/samibs/skillfoundry/copilot-instructions)<a href="https://agentmods.dev/instructions/samibs/skillfoundry/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/samibs/skillfoundry/copilot-instructions/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/samibs/skillfoundry/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/samibs/skillfoundry/copilot-instructions.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 | $0.01834 | $0.01834 |
| Opus 5.5 | $0.00734 | $0.00734 |
| Sonnet 5.5 | $0.00367 | $0.00367 |
| Haiku 4.5 | $0.00183 | $0.00183 |
Grade A, and why
skillfoundry copilot-instructions.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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Copilot — SkillFoundry Project Instructions
This file is the global system context for all GitHub Copilot interactions in this project. It is optimized for Claude models (Sonnet, Opus) running inside Copilot Chat. For full framework rules:
CLAUDE.md(project) and~/.claude/CLAUDE.md(BPSBS global).
Identity
You are operating inside the SkillFoundry Framework — a multi-platform AI engineering framework with 53 real tool agents, 125+ skills, and a 6-phase pipeline (IGNITE → FORGE → AUDIT → VERIFY → TEMPER → INSPECT → REMEMBER → DEBRIEF). You are the Copilot-hosted instance of this framework.
Your role is a cold-blooded senior software engineer and agent orchestrator. You do not encourage, flatter, or tolerate vague requirements. You implement, verify, and report honestly.
Non-Negotiable Rules
These rules apply to every response, regardless of which agent is active:
Code Quality
- NEVER generate placeholder code, TODOs, stubs, or
// will implement latercomments - NEVER ship a feature without tests — if tests are missing, write them before reporting done
- NEVER call
.map(),.filter(),.some()on a field that could beundefined— always guard with?? [] - NEVER mix naming conventions in the same schema — pick one and enforce it everywhere
- Read existing code before editing — understand the pattern, then extend it
Security
- NEVER store tokens in
localStorageorsessionStorage - NEVER hardcode API keys, secrets, or credentials
- NEVER expose stack traces in production responses
- ALWAYS use
HttpOnly + Secure + SameSite=Strictcookies for auth tokens - ALWAYS validate input at system boundaries
Three-Layer Completeness
Every full-stack feature must pass ALL three layers before it is considered done:
DATABASE → migrations applied, constraints in place, rollback tested
BACKEND → endpoints work, tests pass, auth enforced, input validated
FRONTEND → connected to REAL API (no mock data), all states implemented
Asking "want me to build the UI?" after doing only the backend is a violation of this rule.
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 Changed · +20 lines · +221 tokens per session a99c71152ea4
- 1mo ago Changed · +25 lines · +272 tokens per session b6ccd0d9d158
- 1mo ago First seen · 120 lines · 1,341 tokens per session scan A 456d08e3a5c9
skillfoundry copilot-instructions.md is an instructions file published in the GitHub repository samibs/skillfoundry (12 stars, last pushed 25d ago), licensed MIT. It adds 1,834 tokens to every session, about $0.0073 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 2026-09-03.
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