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/jeet129/praxis/copilot-instructionsgit clone --depth 1 https://github.com/jeet129/praxisWrote 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/jeet129/praxis/copilot-instructions)<a href="https://agentmods.dev/instructions/jeet129/praxis/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/jeet129/praxis/copilot-instructions.svg" alt="Measured on agentmods" 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 | $0.00393 | $0.00393 |
| Opus 5 | $0.00197 | $0.00197 |
| Sonnet 5 | $0.00079 | $0.00079 |
| Haiku 4.5 | $0.00039 | $0.00039 |
Grade A, and why
praxis 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 4d 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
GitHub Copilot — Praxis Integration
This repository ships the Praxis — a structured library of skills, agents, and workflows for end-to-end software delivery.
Discovering the right skill
For any non-trivial task, consult skills/using-praxis/SKILL.md — the front-door SKILL with the full intent → workflow → agent → skill decision tree.
Activation flags
Read .project/semantic/project-charter.md to know the project's mode (G/B), data/ML/agentic-AI flags, compliance regimes, scale targets, and stack preferences. Skills activate per these flags.
Where things live
- Skills:
skills/<name>/SKILL.md(84 SKILLs) - Agent personas:
agents/*.md(16 role agents) - Workflows:
workflows/*.yaml - Governance gates:
governance/governance.yaml(7 active + 4 conditional) - Cross-cutting references:
references/ - Project memory:
.project/(six-type taxonomy)
Key disciplines (always apply)
- Source-grounded coding —
skills/source-grounded-coding/SKILL.md. Verify framework decisions against official docs; cite sources; flag unverified. - Doubt-driven decisions —
skills/doubt-driven-decisions/SKILL.md. CLAIM → EXTRACT → DOUBT → RECONCILE → STOP for non-trivial decisions. - Engineering standards —
skills/engineering-standards/SKILL.md+references/git-workflow-checklist.md+references/code-simplification-heuristics.md.
What NOT to do
- Don't write code citing no source for non-trivial framework decisions (hallucination risk).
- Don't skip the discovery phase on greenfield projects.
- Don't merge changes that haven't gone through the appropriate review SKILL.
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.
- 4d ago First seen · 28 lines · 393 tokens per session scan A ebac710c1aba
praxis copilot-instructions.md is an instructions file published in the GitHub repository jeet129/praxis (7 stars, last pushed yesterday), licensed MIT. It adds 393 tokens to every session, about $0.0020 per session on Opus 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.
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