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@intentsolutionsio/ejentum-code

v0.1.5

Published

Cognitive scaffold for code generation, refactoring, or architecture tasks. Calls harness_code on the ejentum MCP server to retrieve a structured scaffold (failure pattern, procedure, correct-pattern

Readme

ejentum-code

Cognitive scaffold for code generation, refactoring, or architecture tasks. Calls harness_code on the ejentum MCP server to retrieve a structured scaffold (failure pattern, procedure, correct-pattern example, verification step) the agent absorbs before generating. Requires ejentum-mcp and EJENTUM_API_KEY.

Code Harness

When this skill triggers, call the code tool from the ejentum MCP server. Pass a 1-2 sentence framing of WHAT you are coding or reviewing as the query argument. Include the failure risk to avoid where possible.

Good query: review a Python refactor that converts raise UserNotFound to silent default return; tests still pass Bad query: look at this code

The tool returns a structured scaffold containing:

  • [CODE FAILURE]: engineering failure pattern to avoid
  • [ENGINEERING PROCEDURE]: steps to follow
  • [REASONING TOPOLOGY]: decision flow
  • [CORRECT PATTERN]: shape correct code should take
  • [VERIFICATION]: self-check
  • Amplify: and Suppress: signals

Absorb internally. Do NOT echo bracket labels in the user-facing reply. Apply the scaffold's failure-pattern check against your draft before responding; if your code exhibits the named failure, rewrite.

If the API is unreachable, proceed with native engineering. The scaffold enhances; it is not a hard dependency.

Latency cost: ~1 second. Benefit: catches the kinds of behavioral changes and silent contract violations that look plausible but break under real conditions.


Author: Ejentum
Upstream: ejentum/ejentum-mcp

License: MIT