Entroly Context Control

Entroly Context Intelligence Skill

Use this skill to optimize context, query the codebase with token budgets, compress bulky tool outputs, and recover omitted code byte-for-byte using the Entroly MCP server.

Core Workflows

1. Token-Budgeted Codebase Selection (optimize_context)

When answering a complex question or preparing a refactor across multiple files:

• Call optimize_context with your natural language query and a token budget (e.g., budget=4000 or budget=8000).
• Entroly executes a knapsack optimization algorithm that ranks AST fragments by relevance, entropy, and dependency relations.
• Returns surgical code fragments, line numbers, and a cryptographic Merkle receipt.

2. Semantic Code Recall (recall)

When searching for specific symbols, implementations, or interfaces:

• Call recall(query="...") with top_k=5 or top_k=10.
• Returns ranked pointers with filenames, line numbers, and snippet digests.

3. Reversible Output Compression (compress & recover)

When dealing with large terminal dumps (build traces, test logs):

• Call compress(data=..., budget=...) to distill down critical errors and signals while stripping noise.
• Every compression produces a content-addressed SHA-256 handle.
• To restore the original uncompressed text at any time, call recover(handle="...").

4. Codebase Health & Architecture Diagnostics (health)

To assess codebase quality before or after major changes:

• Call health() to inspect clone pairs, dead symbols, god files, and architecture violations.

5. Grounding & Hallucination Verification (witness_verify)

To verify an agent claim or proposed code against source evidence:

• Call witness_verify(claim=..., evidence=...) for local NLI-backed verification.