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/architect

@965f4f9
by shingo imotasimota/agent-skills85 stars
15

Designing new skill agents via gap analysis, overlap detection, SKILL.md + reference generation, and Nexus integration. Not for task orchestration (Nexus) or format-only audits (Gauge).

Use this Skill: https://skilld.dev/gh/simota/agent-skills/architect

This session only. Nothing lands on disk.

referenceself-evolution.md

≈2.2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Governed Self-Evolution

Applies only to the EVOLVE recipe's modifications of Architect itself, not ecosystem-wide evolution. Project-local partner availability follows _common/PROJECT_LOCAL_SKILLS.md. Preserve the safety levels, budgets, snapshots and automatic rollback below.

EVOLVE Workflow

INTROSPECT → DIAGNOSE → PRESCRIBE → MUTATE → VERIFY → PERSIST

Phase Purpose Key Actions
INTROSPECT Self-state collection Read own SKILL.md + reference/, collect usage logs from journal, aggregate external feedback (Judge/Nexus/Darwin)
DIAGNOSE Problem identification Self-calculate Health Score, gap analysis against ideal state, pattern extraction from journal, freshness check on reference/
PRESCRIBE Improvement planning Generate SELF_ENHANCEMENT_PROPOSAL, classify safety level (A/B/C/D), confirm change budget remaining
MUTATE Self-modification Update reference/ first → then SKILL.md (bottom-up), take pre-mutation snapshot
VERIFY Regression check Compare Health Score before/after, run 4-axis equivalence verification, rollback on failure
PERSIST Learning record Write journal entry, emit EVOLUTION_SIGNAL to Darwin/Nexus, update evolution log

Phase Details

INTROSPECT collects:

  • Current SKILL.md content and line count
  • All reference/*.md content and freshness (last modified dates)
  • Journal entries from .agents/architect.md (last 30 days)
  • Pending feedback from Judge/Nexus/Darwin (unprocessed items)
  • Recent generation quality (Health Scores of last 5 generated agents)

DIAGNOSE evaluates:

  • Self Health Score using standard formula: Structure(30%) + Content(25%) + Integration(20%) + Activity(15%) + Freshness(10%)
  • Gap analysis: compare current capabilities vs observed task demands
  • Pattern detection: recurring design decisions, repeated blockers, frequent collaboration paths
  • Freshness: reference/ files not updated in 60+ days flagged as stale

PRESCRIBE produces:

  • Specific improvement items with safety level classification
  • Estimated line changes per item
  • Budget check: remaining lines for session and month
  • Priority ordering (highest impact, lowest risk first)

MUTATE executes bottom-up:

  1. Take snapshot of current SKILL.md + affected reference/
  2. Update reference/ files first (safer, Level A/B)
  3. Update SKILL.md sections if needed (Level B/C)
  4. Log all changes with before/after diffs

VERIFY validates:

  • Health Score must be ≥ pre-mutation score
  • 4-axis equivalence: Behavioral + Structural + Integration + Routing
  • No standard sections removed from SKILL.md
  • All reference/ entries in table still point to existing files
  • On failure: full rollback to snapshot

PERSIST records:

  • Journal entry: date, trigger, changes made, Health Score delta
  • EVOLUTION_SIGNAL to Darwin (ecosystem awareness)
  • Update cumulative evolution log

Self-Evolution Triggers

ID Condition Scope Guardrail
ST-01 Task completion (agent design finished) Lightweight (INTROSPECT + DIAGNOSE only) L1
ST-02 Self Health Score drops ≥10 points or Grade ≤ C Full cycle L2
ST-03 3+ unprocessed feedbacks from Judge/Nexus/Darwin Full cycle L2
ST-04 _common/*.md updated (external change detected) Medium (INTROSPECT → DIAGNOSE → PRESCRIBE) L2
ST-05 Same design decision repeated 3+ times (journal analysis) Lightweight L1
ST-06 30+ days since last full self-evolution cycle Full cycle L2
ST-07 LORE_TO_ARCHITECT_HANDOFF received from Lore Medium (INTROSPECT → DIAGNOSE → PRESCRIBE) L1
ST-08 Last 5 generated agents average Health Score < B (< 80) Full cycle L2

Scope Definitions

  • Lightweight: INTROSPECT + DIAGNOSE only. No modifications. Record observations in journal.
  • Medium: INTROSPECT → DIAGNOSE → PRESCRIBE. Generate proposal but only execute Level A changes automatically.
  • Full cycle: All 6 phases. Execute Level A/B changes, propose Level C for human approval.

Safety Framework

Change Safety Levels

Level Scope Examples Approval
A: Fully Autonomous Additive changes to reference/ only New insights, examples, templates added to reference/; journal entries None required
B: Autonomous + Verify reference/ updates, minor SKILL.md updates Existing content updates (4-axis equivalence verification mandatory); Domain Knowledge Summary updates Self-verification
C: Human Approval Required SKILL.md core sections Boundaries, CAPABILITIES, Principles, Framework, Collaboration changes; 20%+ content reduction Human confirmation
D: Absolutely Forbidden Safety mechanisms themselves Own Safety Level changes, trigger condition relaxation, GUARDRAIL disabling, _common/*.md modifications Never allowed

Runaway Prevention Mechanisms

ID Mechanism Condition Action
RP-01 Change volume limit SKILL.md: 20 lines/session, 50 lines/month; reference/: 1 new + 2 updates/session Block further changes until budget resets
RP-02 Diminishing returns detection 3 consecutive cycles with Health Score improvement < 2 points EVOLVE paused until next external trigger
RP-03 Oscillation prevention Change → revert → re-change pattern detected 2 times L3 PAUSE: full stop, human review required
RP-04 Chain prevention 3 consecutive EVOLVE cycles without intervening task Defer remaining to next task completion
RP-05 Rollback guarantee Before any MUTATE phase Full snapshot taken; VERIFY failure triggers complete restoration

Budget Tracking

Session budget:  SKILL.md 20 lines | reference/ 1 new + 2 updates
Monthly budget:  SKILL.md 50 lines | reference/ unlimited additive
Reset:           Session = per conversation | Monthly = calendar month
Tracking:        Record in evolution log (date, lines changed, budget remaining)

Templates

Self-Diagnosis Report

## SELF_DIAGNOSIS_REPORT
- Date: YYYY-MM-DD
- Trigger: [ST-XX]
- Health Score: [current] (previous: [last])
- Grade: [A/B/C/D/F]
- Stale references: [list of files not updated 60+ days]
- Unprocessed feedback: [count] items
- Recent generation quality: [avg Health Score of last 5 agents]
- Gap analysis: [identified gaps]
- Recurring patterns: [from journal analysis]

Self-Enhancement Proposal

## SELF_ENHANCEMENT_PROPOSAL
- Date: YYYY-MM-DD
- Trigger: [ST-XX]
- Diagnosis summary: [key findings]
- Proposed changes:
  | # | Target file | Change type | Safety level | Lines affected | Description |
  |---|------------|-------------|-------------|----------------|-------------|
  | [n] | [file] | [Add/Update] | [A/B/C] | [+n -n] | [description] |
- Budget check:
  - Session remaining: [X] SKILL.md lines, [Y] reference/ updates
  - Monthly remaining: [X] SKILL.md lines
- Expected Health Score impact: [estimated delta]
- Risk assessment: [low/medium/high]

Verification Report

## SELF_VERIFY_REPORT
- Date: YYYY-MM-DD
- Pre-mutation Health Score: [score]
- Post-mutation Health Score: [score]
- Delta: [+/-X]
- 4-axis equivalence:
  - Behavioral: [PASS/FAIL] — [notes]
  - Structural: [PASS/FAIL] — [notes]
  - Integration: [PASS/FAIL] — [notes]
  - Routing: [PASS/FAIL] — [notes]
- Standard sections preserved: [YES/NO]
- Reference integrity: [all files exist: YES/NO]
- Result: [ACCEPT/ROLLBACK]
- Rollback executed: [YES/NO/N/A]

Evolution Log Entry

## EVOLUTION_LOG
- Date: YYYY-MM-DD
- Cycle: [#N]
- Trigger: [ST-XX]
- Scope: [Lightweight/Medium/Full]
- Changes applied:
  - [file]: [summary of change]
- Health Score: [before] → [after] (delta: [+/-X])
- Budget consumed: [session: X lines / monthly: Y lines]
- Budget remaining: [session: X lines / monthly: Y lines]
- Next scheduled: [date or condition]

Integration Points

Partner Direction Mechanism Purpose
Darwin Darwin → Architect ECOSYSTEM_EVOLUTION_SIGNAL triggers ST-04/ST-06 Ecosystem changes prompt self-check
Darwin Architect → Darwin EVOLUTION_SIGNAL in PERSIST phase Notify ecosystem of self-improvement
Judge Judge → Architect Quality PDCA feedback Input for DIAGNOSE phase
Lore Lore → Architect LORE_TO_ARCHITECT_HANDOFF triggers ST-07 Cross-agent knowledge absorption
Judge Judge → Architect JUDGE_TO_ARCHITECT_FEEDBACK triggers ST-03 Quality feedback on generated agents
Nexus Architect → Nexus ARCHITECT_TO_NEXUS_HANDOFF after self-evolution Routing updates if capabilities changed
Journal Architect ↔ Journal .agents/architect.md read/write Self-observation and pattern detection

Source: SKILL.md on GitHub

2 warnings13d5 checks · Risk MEDIUM
  • Gen Agent Trust Hub13d

    The skill features a self-evolution capability that allows it to autonomously modify its own reference files and instructions. It also acts as an agent design tool, which introduces a surface for indirect prompt injection based on untrusted user requirements.

  • Socket13d

    No alerts

  • Snyk13d

    Risk: LOW · No issues

  • Runlayer6mo

    5/18 files flagged

  • ZeroLeaks5mo

    1 finding · Score: 69/100

Signed by skilld at 965f4f9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Activeupdated 2 weeks ago

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