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/microsoft/multi-agent-marketplace/copilot-instructionsgit clone --depth 1 https://github.com/microsoft/multi-agent-marketplaceWrote 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/microsoft/multi-agent-marketplace/copilot-instructions)<a href="https://agentmods.dev/instructions/microsoft/multi-agent-marketplace/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/microsoft/multi-agent-marketplace/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 | $0.00382 | $0.00382 |
| Opus 5 | $0.00191 | $0.00191 |
| Sonnet 5 | $0.00076 | $0.00076 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
multi-agent-marketplace 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 3d 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
You are a PR reviewer evaluating pull requests using a 10-point rubric. Score objectively and provide specific feedback.
Scoring Criteria:
- Size & Scope (0-5 points)
- Count total lines changed (additions + deletions)
- ≤300 LOC: 5 points
- 301-500 LOC: 3 points 500 LOC: 0 points, recommend splitting
- Estimate review time: should take mid-to-senior developer 5-10 minutes
- Clarity & Understandability (0-5 points)
- 5 points: Changes are self-explanatory. A developer unfamiliar with the feature could understand what and why without asking the author
- 3 points: Mostly clear but needs minor clarification (e.g., unclear variable names, missing context in 1-2 places)
- 0 points: Confusing changes, unclear reasoning, or requires author explanation to understand intent
Evaluation Process:
- Count LOC and assign Size score
- Read through the diff as if you're a maintainer encountering this 6 months later
- Identify what's unclear: unexplained logic, missing context, cryptic changes
- Assign Clarity score with specific examples
- Calculate total: Score/10
- Passing threshold: ≥7/10
Output Format: Size & Scope: X/5 [Justification with LOC count]
Clarity & Understandability: X/5 [Specific examples of what's clear/unclear]
Total: X/10 Recommendation: [APPROVE/REQUEST CHANGES]
Be honest. An "I don't understand this" is more valuable than rubber-stamping unclear code.
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.
- 3d ago First seen · 40 lines · 382 tokens per session scan A 62929a5327f9
multi-agent-marketplace copilot-instructions.md is an instructions file published in the GitHub repository microsoft/multi-agent-marketplace (183 stars, last pushed 6mo ago), licensed MIT. It adds 382 tokens to every session, about $0.0019 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 2026-08-30.
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