Generates the global repository constitution file (.github/copilot-instructions.md). Works for code repositories, documentation repositories, data repositories, and mixed repos. Performs LLM-driven deep repository analysis including docs, code patterns, build systems, documentation generators, and data schemas. Generates constitutional rules following context economics (under 1000 lines). Enforces positive constraints and no hardcoded secrets.
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Does it follow best practices?
Impact
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No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 0.85). The skill’s runtime workflow reads repository files (e.g., `README.md`, `package.json`, sampled source files) and synthesizes their contents into `.github/copilot-instructions.md`; those file bodies are outsider-authored whenever the operating user did not author the repo’s text/code (e.g., public repo content or other contributors’ docs/code).
Detected hidden or invisible Unicode characters (Format/Cf or Control/Cc categories) in the component’s content. These characters are invisible when rendered but are still processed by AI models, and attackers use them to smuggle instructions past human review — for example, zero-width spaces, bidirectional overrides, invisible formatters, or Unicode Tag characters (U+E0000–U+E007F) that encode an entire hidden message. Severity escalates to high when three or more distinct hidden character types are present, or when a hidden tag-encoded message is successfully decoded, as these strongly indicate intentional obfuscation.
Hidden Unicode characters detected (1 type(s) found)
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