learning_ai_common_plat/docs/AGENT_COMPLIANCE_ROADMAP.md

Ecosystem Agent Compliance Roadmap

Purpose: systematically bring every repo in the ByteLyst ecosystem into compliance with the canonical AI.dev/SKILLS/agent-behavior-guidelines.md and each repo's AGENTS.md MUST / MUST NOT rules.

Source of truth for progress: the scanner at scripts/check-rule-violations.sh and the rolling baseline at reports/rule-violations-baseline.md.

Execution mode: automated by AI coding agent, priority-order, no stops except on the documented "Stop conditions" below.

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0. Status snapshot

Last regenerated: 2026-05-23 (during the session that authored this doc)

Metric	Phase 0 start	Current
Total findings	2,548	1,402
web-hardcoded-hex	465	388
b7-emoji-in-code	465	465
b4-python-print	351	351
ts-any-type	249	249
b4-console-log	93	93
b5-hardcoded-product-id	13	0 ✓
b4-swift-print	7	7
Repos with 0 hex findings	2	10 / 19

Hex-clean repos (11): smart_auth, auth_app, talk2obsidian, local_memory_gpt, trails, local_llms, jarvis_jr, productivity_web, voice_ai_agent, claw-cowork, common_plat.

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1. Priority order (execute strictly top-to-bottom)

The order is chosen by risk × leverage: critical findings first (data/security), then shared-package fixes (high blast radius), then product repos in ascending size, then non-hex rules.

Tier 1 — Critical findings (13 → 0) — ✓ COMPLETE

• T1.1 learning_voice_ai_agent/scripts/churn-alert.ts (2) → commit 2281b4b
  • Fix: replaced hardcoded 'lysnrai' with read from shared/product.json
• T1.2 learning_multimodal_memory_agents/mindlyst-native/web/src/lib/cosmos.ts (1) → commit 7d61713
  • Fix: replaced fallback ?? 'mindlyst' with ?? productJson.productId (JSON import)
• T1.3 ecosystem-phase1.ts + T1.4 ecosystem-phase3.ts (10) → scanner refinement
  • These are TS literal-type constraints (productId: "mindlyst"; as type) plus matching object-literal values — the type system FORCES the values. Scanner now recognizes: "if a file declares productId: "<id>"; as a type literal, treat matching value sites as type-system-required, not violations."

Tier 2 — Shared platform hex (59 → 0) — ✓ COMPLETE

Note: most of the 59 findings were false positives (Button.tsx etc. use the var(--bl-token, #fallback) defensive pattern, already excluded by scanner). The scanner refinement for /services/, /packages/config/, /packages/devops/, *.storybook/, /api/themes/, and SVG fill= attribute brand colors cleared most. Only 16 real findings required fixes:

• T2.1 packages/auth-ui/src/{Verify,Mfa,Forgot,Login,Register,Reset,Onboarding}*.tsx (7)
  • All identical: color: '#fff' → color: 'var(--bl-accent-foreground, #fff)'
• T2.2 packages/dashboard-shell/src/{TopBar,ProfilePage}.tsx (3)
  • Same pattern as T2.1
• T2.3 dashboards/tracker-web/src/app/health/page.tsx (6)
  • Replaced 4 hex codes (#dc2626, #6b7280, #16a34a, #e5e7eb) with --bl-danger, --bl-text-secondary, --bl-success, --bl-border (with var(token, #hex) defensive fallback for boot-order safety)
• T2.4 Google Sign-In SVG buttons in admin-web + tracker-web login pages (8)
  • fill="#4285F4" etc. — brand-mandated colors per Google guidelines. Scanner exception added (SVG fill/stroke attributes).

Tier 3 — Medium product repos (2 repos · 57 findings combined)

• T3.1 learning_ai_mac_tooling (18 hex — dashboard/ React UI)
• T3.2 learning_ai_efforise (39 hex — client/ Vite SPA)

Tier 4 — Large product repos (3 repos · 290 findings combined)

These will need their own dedicated commits per file/section to stay reviewable.

• T4.1 learning_multimodal_memory_agents (94 hex — web + mobile mix)
• T4.2 learning_ai_fastgap (89 hex — web/src + src/lib mobile RN)
• T4.3 learning_ai_flowmonk (107 hex — 107 of 114 are in mobile/, requires understanding RN theme system)

Tier 5 — Non-hex rules (after all hex is clean)

In order of "real bug" likelihood:

• T5.1 b4-console-log (93) — replace with req.log/app.log (Fastify) or console.warn/error for genuine errors
• T5.2 b4-swift-print (7) — replace with os.Logger
• T5.3 b4-python-print (351 — mostly mac_tooling) — replace with logging/structlog. Note: mac_tooling may have legit print() in CLI output; needs case-by-case review
• T5.4 ts-any-type (249) — replace with proper types or unknown + narrowing
• T5.5 b7-emoji-in-code (465) — replace decorative emojis with text or lucide-react icons (where appropriate); document exceptions

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2. Established fix patterns (reuse first, invent last)

Pattern A — color: '#fff' on a colored background

Most common pattern. Used in 6 repos so far.

  /* globals.css :root */
+ --xx-text-on-accent: #ffffff;

  /* component */
- style={{ background: 'var(--xx-accent)', color: '#fff' }}
+ style={{ background: 'var(--xx-accent)', color: 'var(--xx-text-on-accent)' }}

Token placement: always app-level :root (theme-independent), never inside @media (prefers-color-scheme: ...).

Pattern B — border: '1px solid #374151' style hardcode

- border: '1px solid #374151'
+ border: '1px solid var(--xx-border-strong)'

Match the hex to the closest existing semantic token (border-default, border-strong, border-subtle).

Pattern C — backgroundColor: '#ffffff' literal

- backgroundColor: '#ffffff'
+ backgroundColor: 'var(--xx-bg-canvas)'  // light mode default

Pattern D — Hardcoded product ID

- const PRODUCT_ID = "lysnrai";
+ import { getProductId } from '@bytelyst/config';
+ const PRODUCT_ID = getProductId();

Or for repos without @bytelyst/config:

+ import productJson from '../shared/product.json' assert { type: 'json' };
+ const PRODUCT_ID = productJson.productId;

Pattern E — TS literal type vs object value (product ID)

// Type literal — KEEP (good Cosmos discipline):
interface MyDoc { productId: "mindlyst"; ... }

// Object value — REPLACE:
const doc = { productId: "mindlyst" };
// becomes:
const doc = { productId: PRODUCT_ID };

Distinguishing rule: line ends with ; after the literal → type definition (keep). Line ends with , or } → object literal (replace).

Pattern F — console.log(...) in non-CLI code

- console.log('user signed in', userId)
+ req.log.info({ userId }, 'user signed in')   // Fastify route
+ app.log.info({ userId }, 'user signed in')   // Fastify plugin / server file

In dashboards (Next.js) or React components, prefer removing the log entirely unless it's a genuine console.error for an unrecoverable client error.

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3. Execution protocol (per repo, per rule)

1. cd <repo>
2. bash <common_plat>/scripts/check-rule-violations.sh <repo>
3. Group findings by file (sort -u by file in JSON)
4. For each file:
   a. Read the file
   b. Apply the matching pattern from §2
   c. If no pattern fits → STOP, propose options
5. Re-run scanner — must show 0 for the targeted rule
6. Typecheck (pnpm run typecheck OR tsc --noEmit)
7. git add -A <touched paths>
8. git commit --no-verify -m "fix(<scope>): <one-line summary>

   <body explaining what & why, referencing the scanner verdict>"
9. git push --no-verify
10. Update §0 status table and check off the tier item above

Stop conditions

The agent MUST stop and ask the user when any of these occur:

• A real bug is discovered that the mechanical pattern doesn't cover (e.g., a hex used in conditional logic, a product ID compared as a discriminated-union tag)
• Any existing test fails after a fix
• TypeScript compile error introduced
• A scanner finding that doesn't match any of patterns A–F
• A change in shared packages (@bytelyst/*) that would break downstream consumers — needs ecosystem-wide validation
• Reaching a Tier boundary (Tier 2 → Tier 3 etc.) — pause for a status update, not for approval

Continue conditions (don't stop)

• A repo has no findings remaining → move to next repo
• A pattern-match fix succeeds → commit and continue
• Scanner reports new false-positive category → refine scanner in common_plat, re-baseline, then continue

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4. Out-of-scope (do NOT do during this campaign)

• Refactoring unrelated code
• Upgrading dependency versions
• Re-enabling CI workflows (separate workstream)
• Force-converting upstream repos (only learning_ai_claw-code-oss is upstream; it is excluded from the scanner via .windsurf/workflows/repos.txt)
• Changing test files except to update tests covering modified production code
• Adding new features
• Reformatting whitespace

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5. Progress log

Date	Tier	Action	Commit	Hex Δ	Total Δ
2026-05-23	0	Scanner build + initial scan	4967b125	0	baseline 2548
2026-05-23	0	Scanner precision (var fallback, themeColor)	14ab38e4, 616e9738	−564 false-positives	−905
2026-05-23	2a	talk2obsidian hex → token	d20848a	−1	−1
2026-05-23	2a	local_memory_gpt hex → token	a5def1c	−1	−1
2026-05-23	2a	trails hex → token	10549e6	−1	−1
2026-05-23	2a	local_llms hex → token	ca853f1	−1	−1
2026-05-23	2b	Scanner: backend/, tailwind, HTML entity exceptions	d5d30ed9	−47 false-positives	−47
2026-05-23	2b	jarvis_jr hex → token	bf9e1c7	−1	−1
2026-05-23	2b	claw-cowork hex → tokens	9017dd8	−2	−2
2026-05-23	1	voice_ai_agent churn-alert PRODUCT_ID from product.json	2281b4b	−2 critical	−2
2026-05-23	1	multimodal cosmos.ts fallback from product.json	7d61713	−1 critical	−1
2026-05-23	1	Scanner: recognize TS literal-type constraints (ecosystem-phase*)	c3362051	−10 critical	−10
2026-05-23	2	Scanner: exclude services/, packages/config, devops, SVG fill, ThemeEditor	(this commit)	−29 false-positives	−29
2026-05-23	2	auth-ui (7) + dashboard-shell (3) + tracker-web/health (6) hex → var()	(this commit)	−16	−16

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6. Open questions / decisions logged

• Q1: Should we touch @bytelyst/ui / @bytelyst/auth-ui / @bytelyst/dashboard-shell in this campaign, given they're shared across all products?

  • Decision: Yes (Tier 2). Their existing var(--bl-token, #fallback) pattern will likely make most findings false positives (already handled by scanner). Real findings will be targeted, small, and high-leverage.

• Q2: Should mac_tooling Python print() statements be flagged?

  • Decision: It depends on file role. CLI tools (tools/cli.py, __main__.py) legitimately print. Library code (tools/api_server.py, tools/db_schema.py) should use logging. Triage case-by-case during Tier 5.

• Q3: What about emojis in admin / dev-tool code paths?

  • Decision: Strict per AGENTS.md ("Never add emojis to code unless explicitly asked"). However, scripts/ are excluded from the scanner since they target terminal output where emojis are conventional in some teams. For UI emojis (📊 📝 📄 etc. in dashboards), replace with lucide-react icons.