@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
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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-checkAmplify:andSuppress: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
