polish-academic-mcp: Instructions file for GitHub Copilot

.github/instructions/agent-safety.instructions.md

polish-academic-mcp agent-safety.instructions.md is an instructions file for GitHub Copilot from asterixix/polish-academic-mcp. It costs 912 tokens per session, scanned B, original, MIT.

Safety guidelines for building AI agents that use tools or work together. They cover permissions, policy checks, user-input screening, approvals, rate limits, and audit logs.

In plain words
What is it for?
Use them when designing tool-calling agents, multi-agent systems, or workflows that need restricted access, human approval, threat checks, and tamper-resistant records.
Why use it?
They help prevent agents from taking unauthorized, unsafe, or high-impact actions and make their decisions easier to review.

Instructions file for GitHub Copilot

Written for GitHub Copilot: a Copilot instructions file.

This is asterixix/polish-academic-mcp's own configuration. It tells GitHub Copilot how to work on polish-academic-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything polish-academic-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to asterixix/polish-academic-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/asterixix/polish-academic-mcp/main/.github/instructions/agent-safety.instructions.md
Clone the repo
git clone --depth 1 https://github.com/asterixix/polish-academic-mcp

Made for: GitHub Copilot.

Wrote this? Show the measurements

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README.md
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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.

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Per session 912 This file is loaded in full into every session.
When invoked 912 The same file — it is already loaded in full.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00912 $0.00912
Opus 5 $0.00456 $0.00456
Sonnet 5 $0.00182 $0.00182
Haiku 4.5 $0.00091 $0.00091

Measured 9d ago against content hash f32c666ffae1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade B, and why

polish-academic-mcp agent-safety.instructions.md scanned grade B with 1 finding 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 9d 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.

Unrestricted tool accessmediumExcessive agency

A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.

allowed_tools: ["*"]
.github/instructions/agent-safety.instructions.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Safety & Governance

Core Principles

  • Fail closed: If a governance check errors or is ambiguous, deny the action rather than allowing it
  • Policy as configuration: Define governance rules in YAML/JSON files, not hardcoded in application logic
  • Least privilege: Agents should have the minimum tool access needed for their task
  • Append-only audit: Never modify or delete audit trail entries — immutability enables compliance

Tool Access Controls

  • Always define an explicit allowlist of tools an agent can use — never give unrestricted tool access
  • Separate tool registration from tool authorization — the framework knows what tools exist, the policy controls which are allowed
  • Use blocklists for known-dangerous operations (shell execution, file deletion, database DDL)
  • Require human-in-the-loop approval for high-impact tools (send email, deploy, delete records)
  • Enforce rate limits on tool calls per request to prevent infinite loops and resource exhaustion

Content Safety

  • Scan all user inputs for threat signals before passing to the agent (data exfiltration, prompt injection, privilege escalation)
  • Filter agent arguments for sensitive patterns: API keys, credentials, PII, SQL injection
  • Use regex pattern lists that can be updated without code changes
  • Check both the user's original prompt AND the agent's generated tool arguments

Multi-Agent Safety

  • Each agent in a multi-agent system should have its own governance policy
  • When agents delegate to other agents, apply the most restrictive policy from either
  • Track trust scores for agent delegates — degrade trust on failures, require ongoing good behavior
  • Never allow an inner agent to have broader permissions than the outer agent that called it

Audit & Observability

  • Log every tool call with: timestamp, agent ID, tool name, allow/deny decision, policy name
  • Log every governance violation with the matched rule and evidence
  • Export audit trails in JSON Lines format for integration with log aggregation systems
  • Include session boundaries (start/end) in audit logs for correlation

Read the full file on GitHub · 96 lines

Changes

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.

  1. 9d ago First seen · 96 lines · 912 tokens per session scan B f32c666ffae1

Subscribe to this mod's changes

polish-academic-mcp agent-safety.instructions.md is an instructions file published in the GitHub repository asterixix/polish-academic-mcp (4 stars, last pushed 1mo ago), licensed MIT. It adds 912 tokens to every session, about $0.0046 per session on Opus 5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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