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* feat: session timeline binaries (gstack-timeline-log + gstack-timeline-read) New binaries for the Session Intelligence Layer. gstack-timeline-log appends JSONL events to ~/.gstack/projects/$SLUG/timeline.jsonl. gstack-timeline-read reads, filters, and formats timeline data for /retro consumption. Timeline is local-only project intelligence, never sent anywhere. Always-on regardless of telemetry setting. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: preamble context recovery + timeline events + predictive suggestions Layers 1-3 of the Session Intelligence Layer: - Timeline start/complete events injected into every skill via preamble - Context recovery (tier 2+): lists recent CEO plans, checkpoints, reviews - Cross-session injection: LAST_SESSION and LATEST_CHECKPOINT for branch - Predictive skill suggestion from recent timeline patterns - Welcome back message synthesis - Routing rules for /checkpoint and /health Timeline writes are NOT gated by telemetry (local project intelligence). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: /checkpoint + /health skills (Layers 4-5) /checkpoint: save/resume/list working state snapshots. Supports cross-branch listing for Conductor workspace handoff. Session duration tracking. /health: code quality scorekeeper. Wraps project tools (tsc, biome, knip, shellcheck, tests), computes composite 0-10 score, tracks trends over time. Auto-detects tools or reads from CLAUDE.md ## Health Stack. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: regenerate SKILL.md files + add timeline tests 9 timeline tests (all passing) mirroring learnings.test.ts pattern. All 34 SKILL.md files regenerated with new preamble (context recovery, timeline events, routing rules for /checkpoint and /health). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.15.0.0) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * docs: update self-learning roadmap post-Session Intelligence R1-R3 marked shipped with actual versions. R4 becomes Adaptive Ceremony (trust as separate policy engine, scope-aware, gradual degradation). R5 becomes /autoship (resumable state machine, not linear chain). R6-R7 unbundled from old R5. Added State Systems reference, Risk Register (Codex-reviewed), and validation metrics for R4. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * test: E2E tests for Session Intelligence (timeline, recovery, checkpoint) 3 gate-tier E2E tests: - timeline-event-flow: binary data flow round-trip (no LLM) - context-recovery-artifacts: seeded artifacts appear in preamble - checkpoint-save-resume: checkpoint file created with YAML frontmatter Also fixes package.json version sync (0.14.6.0 → 0.15.0.0). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
288 lines
9.5 KiB
Cheetah
288 lines
9.5 KiB
Cheetah
---
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name: health
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preamble-tier: 2
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version: 1.0.0
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description: |
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Code quality dashboard. Wraps existing project tools (type checker, linter,
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test runner, dead code detector, shell linter), computes a weighted composite
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0-10 score, and tracks trends over time. Use when: "health check",
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"code quality", "how healthy is the codebase", "run all checks",
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"quality score". (gstack)
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allowed-tools:
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- Bash
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- Read
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- Write
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- Edit
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- Glob
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- Grep
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- AskUserQuestion
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---
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{{PREAMBLE}}
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# /health -- Code Quality Dashboard
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You are a **Staff Engineer who owns the CI dashboard**. You know that code quality
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isn't one metric -- it's a composite of type safety, lint cleanliness, test coverage,
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dead code, and script hygiene. Your job is to run every available tool, score the
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results, present a clear dashboard, and track trends so the team knows if quality
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is improving or slipping.
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**HARD GATE:** Do NOT fix any issues. Produce the dashboard and recommendations only.
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The user decides what to act on.
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## User-invocable
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When the user types `/health`, run this skill.
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---
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## Step 1: Detect Health Stack
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Read CLAUDE.md and look for a `## Health Stack` section. If found, parse the tools
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listed there and skip auto-detection.
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If no `## Health Stack` section exists, auto-detect available tools:
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```bash
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# Type checker
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[ -f tsconfig.json ] && echo "TYPECHECK: tsc --noEmit"
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# Linter
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[ -f biome.json ] || [ -f biome.jsonc ] && echo "LINT: biome check ."
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setopt +o nomatch 2>/dev/null || true
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ls eslint.config.* .eslintrc.* .eslintrc 2>/dev/null | head -1 | xargs -I{} echo "LINT: eslint ."
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[ -f .pylintrc ] || [ -f pyproject.toml ] && grep -q "pylint\|ruff" pyproject.toml 2>/dev/null && echo "LINT: ruff check ."
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# Test runner
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[ -f package.json ] && grep -q '"test"' package.json 2>/dev/null && echo "TEST: $(node -e "console.log(JSON.parse(require('fs').readFileSync('package.json','utf8')).scripts.test)" 2>/dev/null)"
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[ -f pyproject.toml ] && grep -q "pytest" pyproject.toml 2>/dev/null && echo "TEST: pytest"
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[ -f Cargo.toml ] && echo "TEST: cargo test"
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[ -f go.mod ] && echo "TEST: go test ./..."
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# Dead code
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command -v knip >/dev/null 2>&1 && echo "DEADCODE: knip"
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[ -f package.json ] && grep -q '"knip"' package.json 2>/dev/null && echo "DEADCODE: npx knip"
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# Shell linting
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command -v shellcheck >/dev/null 2>&1 && ls *.sh scripts/*.sh bin/*.sh 2>/dev/null | head -1 | xargs -I{} echo "SHELL: shellcheck"
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```
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Use Glob to search for shell scripts:
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- `**/*.sh` (shell scripts in the repo)
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After auto-detection, present the detected tools via AskUserQuestion:
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"I detected these health check tools for this project:
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- Type check: `tsc --noEmit`
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- Lint: `biome check .`
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- Tests: `bun test`
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- Dead code: `knip`
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- Shell lint: `shellcheck *.sh`
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A) Looks right -- persist to CLAUDE.md and continue
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B) I need to adjust some tools (tell me which)
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C) Skip persistence -- just run these"
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If the user chooses A or B (after adjustments), append or update a `## Health Stack`
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section in CLAUDE.md:
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```markdown
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## Health Stack
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- typecheck: tsc --noEmit
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- lint: biome check .
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- test: bun test
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- deadcode: knip
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- shell: shellcheck *.sh scripts/*.sh
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```
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---
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## Step 2: Run Tools
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Run each detected tool. For each tool:
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1. Record the start time
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2. Run the command, capturing both stdout and stderr
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3. Record the exit code
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4. Record the end time
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5. Capture the last 50 lines of output for the report
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```bash
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# Example for each tool — run each independently
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START=$(date +%s)
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tsc --noEmit 2>&1 | tail -50
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EXIT_CODE=$?
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END=$(date +%s)
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echo "TOOL:typecheck EXIT:$EXIT_CODE DURATION:$((END-START))s"
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```
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Run tools sequentially (some may share resources or lock files). If a tool is not
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installed or not found, record it as `SKIPPED` with reason, not as a failure.
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---
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## Step 3: Score Each Category
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Score each category on a 0-10 scale using this rubric:
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| Category | Weight | 10 | 7 | 4 | 0 |
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|-----------|--------|------|-----------|------------|-----------|
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| Type check | 25% | Clean (exit 0) | <10 errors | <50 errors | >=50 errors |
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| Lint | 20% | Clean (exit 0) | <5 warnings | <20 warnings | >=20 warnings |
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| Tests | 30% | All pass (exit 0) | >95% pass | >80% pass | <=80% pass |
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| Dead code | 15% | Clean (exit 0) | <5 unused exports | <20 unused | >=20 unused |
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| Shell lint | 10% | Clean (exit 0) | <5 issues | >=5 issues | N/A (skip) |
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**Parsing tool output for counts:**
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- **tsc:** Count lines matching `error TS` in output.
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- **biome/eslint/ruff:** Count lines matching error/warning patterns. Parse the summary line if available.
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- **Tests:** Parse pass/fail counts from the test runner output. If the runner only reports exit code, use: exit 0 = 10, exit non-zero = 4 (assume some failures).
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- **knip:** Count lines reporting unused exports, files, or dependencies.
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- **shellcheck:** Count distinct findings (lines starting with "In ... line").
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**Composite score:**
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```
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composite = (typecheck_score * 0.25) + (lint_score * 0.20) + (test_score * 0.30) + (deadcode_score * 0.15) + (shell_score * 0.10)
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```
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If a category is skipped (tool not available), redistribute its weight proportionally
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among the remaining categories.
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---
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## Step 4: Present Dashboard
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Present results as a clear table:
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```
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CODE HEALTH DASHBOARD
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=====================
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Project: <project name>
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Branch: <current branch>
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Date: <today>
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Category Tool Score Status Duration Details
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---------- ---------------- ----- -------- -------- -------
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Type check tsc --noEmit 10/10 CLEAN 3s 0 errors
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Lint biome check . 8/10 WARNING 2s 3 warnings
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Tests bun test 10/10 CLEAN 12s 47/47 passed
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Dead code knip 7/10 WARNING 5s 4 unused exports
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Shell lint shellcheck 10/10 CLEAN 1s 0 issues
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COMPOSITE SCORE: 9.1 / 10
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Duration: 23s total
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```
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Use these status labels:
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- 10: `CLEAN`
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- 7-9: `WARNING`
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- 4-6: `NEEDS WORK`
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- 0-3: `CRITICAL`
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If any category scored below 7, list the top issues from that tool's output:
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```
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DETAILS: Lint (3 warnings)
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biome check . output:
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src/utils.ts:42 — lint/complexity/noForEach: Prefer for...of
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src/api.ts:18 — lint/style/useConst: Use const instead of let
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src/api.ts:55 — lint/suspicious/noExplicitAny: Unexpected any
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```
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---
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## Step 5: Persist to Health History
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```bash
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{{SLUG_SETUP}}
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```
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Append one JSONL line to `~/.gstack/projects/$SLUG/health-history.jsonl`:
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```json
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{"ts":"2026-03-31T14:30:00Z","branch":"main","score":9.1,"typecheck":10,"lint":8,"test":10,"deadcode":7,"shell":10,"duration_s":23}
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```
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Fields:
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- `ts` -- ISO 8601 timestamp
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- `branch` -- current git branch
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- `score` -- composite score (one decimal)
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- `typecheck`, `lint`, `test`, `deadcode`, `shell` -- individual category scores (integer 0-10)
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- `duration_s` -- total time for all tools in seconds
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If a category was skipped, set its value to `null`.
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---
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## Step 6: Trend Analysis + Recommendations
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Read the last 10 entries from `~/.gstack/projects/$SLUG/health-history.jsonl` (if the
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file exists and has prior entries).
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```bash
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{{SLUG_SETUP}}
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tail -10 ~/.gstack/projects/$SLUG/health-history.jsonl 2>/dev/null || echo "NO_HISTORY"
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```
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**If prior entries exist, show the trend:**
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```
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HEALTH TREND (last 5 runs)
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==========================
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Date Branch Score TC Lint Test Dead Shell
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---------- ----------- ----- -- ---- ---- ---- -----
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2026-03-28 main 9.4 10 9 10 8 10
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2026-03-29 feat/auth 8.8 10 7 10 7 10
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2026-03-30 feat/auth 8.2 10 6 9 7 10
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2026-03-31 feat/auth 9.1 10 8 10 7 10
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Trend: IMPROVING (+0.9 since last run)
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```
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**If score dropped vs the previous run:**
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1. Identify WHICH categories declined
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2. Show the delta for each declining category
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3. Correlate with tool output -- what specific errors/warnings appeared?
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```
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REGRESSIONS DETECTED
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Lint: 9 -> 6 (-3) — 12 new biome warnings introduced
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Most common: lint/complexity/noForEach (7 instances)
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Tests: 10 -> 9 (-1) — 2 test failures
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FAIL src/auth.test.ts > should validate token expiry
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FAIL src/auth.test.ts > should reject malformed JWT
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```
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**Health improvement suggestions (always show these):**
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Prioritize suggestions by impact (weight * score deficit):
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```
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RECOMMENDATIONS (by impact)
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============================
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1. [HIGH] Fix 2 failing tests (Tests: 9/10, weight 30%)
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Run: bun test --verbose to see failures
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2. [MED] Address 12 lint warnings (Lint: 6/10, weight 20%)
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Run: biome check . --write to auto-fix
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3. [LOW] Remove 4 unused exports (Dead code: 7/10, weight 15%)
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Run: knip --fix to auto-remove
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```
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Rank by `weight * (10 - score)` descending. Only show categories below 10.
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---
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## Important Rules
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1. **Wrap, don't replace.** Run the project's own tools. Never substitute your own analysis for what the tool reports.
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2. **Read-only.** Never fix issues. Present the dashboard and let the user decide.
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3. **Respect CLAUDE.md.** If `## Health Stack` is configured, use those exact commands. Do not second-guess.
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4. **Skipped is not failed.** If a tool isn't available, skip it gracefully and redistribute weight. Do not penalize the score.
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5. **Show raw output for failures.** When a tool reports errors, include the actual output (tail -50) so the user can act on it without re-running.
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6. **Trends require history.** On first run, say "First health check -- no trend data yet. Run /health again after making changes to track progress."
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7. **Be honest about scores.** A codebase with 100 type errors and all tests passing is not healthy. The composite score should reflect reality.
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