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- Implemented a status bar item for LexAI with dynamic status updates (ready, processing, notReady). - Created a suggestion panel for displaying and interacting with AI-generated suggestions. - Added functionality for accepting, regenerating, and discarding suggestions within the suggestion zone. - Introduced configuration options for writing style, prompt patterns, personas, and formats. - Integrated progress indicators for long-running tasks and improved user feedback. - Established TypeScript configuration for the vscode package.
1.9 KiB
1.9 KiB
name, description
| name | description |
|---|---|
| self-model-audit | Compare what the harness believes about the operator and project (docs/SELF_MODEL.md, AGENTS.md, agent prompts) against what recent work and corrections actually reveal, and propose edits that close the gap. Use periodically or after repeated "that's not what I meant" signals. |
Find where the harness is modeling a stale, aspirational, or simply wrong version of the operator or the project — then propose the smallest edits that make the model match reality. Read-only: propose changes, don't apply them without approval.
- Read the belief set.
docs/SELF_MODEL.md,docs/PROJECT_BRIEF.md, the operator/project instructions inAGENTS.md, active## Lessons, and any role notes indocs/MEMORY.md. Note every claim the system holds about who the operator is, what they want, and how they work. - Read the evidence. Recent handoffs (
docs/HANDOFF.md), recorded decisions (docs/DECISIONS.md), corrections captured inLESSONS_LEARNED.md, and the shape of recent tasks. Infer what the operator's actual behavior and choices reveal. - Find the gaps. Flag each place the stated model conflicts with revealed behavior: preferences that changed, aspirational goals the system optimizes for but recent work contradicts, assumptions never re-confirmed, and voice/style drift. Distinguish "genuinely stale" from "reasonable disagreement" — do not pathologize a deliberate choice.
- Propose edits. For each gap, give the exact
SELF_MODEL.md(orAGENTS.mdinstruction) change that closes it, tied to the evidence that justifies it. Prefer removing an over-specific belief over adding more. - Return the gap list (belief → contradicting evidence → proposed edit), and route any accepted change through the operator or
system-steward. Never infer a sensitive attribute, and never store credentials, financial/health data, or anything the operator hasn't agreed to persist.