AI Agent Discipline Linter

Version updated for https://github.com/naimkatiman/continuous-improvement to version v3.6.0.

  • This action is used across all versions by 0 repositories.

Action Type

This is a Node action using Node version 20.

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Action Summary

This GitHub Action enforces disciplined behavior in AI coding agents, such as Claude Code, by implementing a structured 7-step workflow (research, plan, execute, verify, reflect, learn, iterate) to prevent common failures like skipping steps or incomplete verification. It automates this process using 13 integrated skills, including test-driven development enforcement, verification loops, and an instinct engine that adapts to usage patterns. Additionally, it provides a transcript linter for CI to catch violations of the workflow, ensuring consistent and reliable agent performance.

What’s Changed

Added

  • Node observer + npx continuous-improvement backfill (#52) — replaces the bash thin-schema fallback that depended on jq. The new bin/observe.mjs reads stdin, parses the hook payload natively, and writes the rich event schema (tool_input.command for Bash, Edit.file_path for Edit/Write/Read, tool_output for tool_complete) without external dependencies. hooks/observe.sh becomes a two-phase shim: prefer the Node observer when present, fall back to the prior bash thin-schema path when not, so operators who do not re-run npx continuous-improvement install see no behavior change. The companion backfill subcommand walks existing observations.jsonl files and tags every row with schema: "thin" | "rich" so the analysis pass can cleanly skip thin rows and surface a “X% thin” stat to operators. Idempotent; preserves operator data via .bak and observations.corrupt.jsonl quarantine. Closes the audit-derived gap where 22,065 observations across 11 projects on a jq-less host yielded 0 auto-detected instincts. Live backfill against the maintainer’s host: 25,077 rows tagged → 24,547 thin (97.9%), 530 rich (2.1%), across 14 projects.
  • Proactive Roadmap Surfacing section in wild-risa-balance (#53) — names the surface-don’t-execute boundary explicitly. Trigger conditions (persistent roadmap, finished tasks implying next steps, drift, instinct/memory predictions); hard boundary citing global CLAUDE.md and Auto Mode rules; format with (surfaced — <source>) marker; anti-patterns (nagging, citation-free speculation, bundling surface with execution, inventing roadmaps).
  • meta instinct pack (#50) — promotes the two cross-project reflection-instincts (skip-thin-observation-schema, parallelize-independent-tool-calls) from per-project YAML into a shared starter pack. Test loop drives off PACK_FLOORS so language packs keep ≥5 floor while meta ships at ≥2.

Changed

  • README install ergonomics (#50) — jq listed alongside Node and bash in Preconditions with per-OS install commands; new “Operator modes” section adjacent to install with both bash/zsh and PowerShell export syntax for CLAUDE_THREE_SECTION_CLOSE_DISABLED.
  • CONTRIBUTING.md Source of truth: src/ callout (#50) — hoisted as a one-line warning at the top of ## Architecture; the existing edit-src-then-build workflow at lines 101-118 was correct but buried.

Fixed

  • hooks/observe.sh jq-missing one-shot warning (#50) — emits a single stderr line per host on the first invocation when jq is absent on PATH, so operators learn the auto-instinct gap at install time instead of discovering weeks of thin-schema collection. Marker lives at ~/.claude/.continuous-improvement-jq-warned, deliberately outside ~/.claude/instincts/ so directory iterators are unaffected.