Core agent improvements: - RSO (Relevance Scoring & Observation) system: interaction_logger, memory_scorer, signal_detector - Memory access logging (memory_access_log table) for relevance scoring; high-signal turn detection - Rich conversation storage for notable turns; compact_conversation truncates long user messages - Task-type classifier (query/action/analysis/creative) for observation tagging - Nested sub-agent visibility: deep delegations now register against the main agent's manager Child safety (Gabriel profile): - child_safety.py: filtering, audit logging, prompt constants for restricted sessions - .kiro/specs/child-safety-profile: requirements, design, tasks specs - GABRIEL_BOT_PROPOSAL.md: initial proposal doc - Reduced context window (10 msgs) and tutor-mode identity for restricted users Telegram adapter: - Polling watchdog: auto-restarts updater if polling drops unexpectedly - get_me() with exponential-backoff retry on NetworkError at startup - Correct stop() ordering: signal watchdog before cancelling tasks Email / Gmail: - send_email: supports file attachments (attachments list param) - get_email: surfaces attachment metadata in response Scheduled tasks / weather: - Remove OpenWeatherMap API calls from morning-weather task; use wttr.in exclusively - New scheduled tasks and scheduler state persistence Discord: - adapters/discord/__init__.py scaffold - discord-plugin: MCP plugin for Claude Code Discord integration (server.ts, skills, config) Infrastructure: - n8n workflow exports (garvis_webhook, content_pipeline variants) - memory_workspace: context, homelab-repo-updates, weekly observation summaries, error logs - UCS C240 migration plan doc - requirements.txt: new deps - .claude/settings.json, fix_hooks.py: hook/permission tuning
125 lines
6.9 KiB
Markdown
125 lines
6.9 KiB
Markdown
# RSO Weekly Reflection — Week 17 (2026-04-14 → 2026-04-20)
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## Summary Statistics
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| Metric | Value |
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|--------|-------|
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| Total interactions | 80 |
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| Total signals | 78 |
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| Errors / Timeouts | 0 / 0 |
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| Avg duration | 55.9s |
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| Max duration | 438.8s |
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| Slow (>60s) | 16 (20%) |
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| Positive signals | 5 (6.4%) |
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| Negative signals | 5 (6.4%) |
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| Corrections followed | 3 |
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**Task types**: query (55), creative (11), action (8), analysis (6)
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**Complexity**: simple (53), complex (20), moderate (7)
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---
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## Q1: What Went Well?
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- **Zero errors and zero timeouts** — a clean week from an infrastructure stability standpoint. No tool failures, no dropped connections.
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- **Simple tasks dominated** (53 of 80 = 66%) and completed within acceptable latency for the majority.
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- **5 explicit positive signals** received with neutral follow-ups being the overwhelming majority (66 of 78 = 85%), indicating Jordan generally accepted outputs without needing refinement.
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- **Tool diversity** was high — 12+ distinct tools actively used, demonstrating the MCP ecosystem is functioning end-to-end (SSH, file system, search, web fetch, Bash, delegation).
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- **Delegation via Task agent** used 20 times — appropriate offloading of complex sub-tasks to parallel agents.
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---
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## Q2: What Went Wrong?
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- **20% of interactions exceeded 60s** (16 of 80) — one in five requests ran slow. The worst offender was 438s (7+ minutes) for the RSO weekly reflection itself.
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- **5 negative signals and 3 corrections** — a 6.4% dissatisfaction rate. Combined with 2 refinement requests, 10 of 78 signals (12.8%) indicated suboptimal first-response quality.
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- **Complex tasks (25%) drove disproportionate latency**: the top 10 slowest interactions averaged ~230s and were all complex/analysis tasks (repo analysis, tax research, configuration parsing).
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- **No recurring error patterns** (0 errors), but the slow-task concentration suggests architectural limits are being hit on multi-file analysis tasks.
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---
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## Q3: What Patterns Emerged?
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### Task Distribution
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- **Queries dominate** (69% of all interactions) — Jordan uses Garvis primarily as a lookup/research tool, not an action executor.
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- **Creative tasks** (14%) are the second most common — writing, drafting, ideation.
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- **Actions** (10%) and **analysis** (8%) are minority use cases but account for most of the slow interactions.
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### Tool Usage Chains
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- **Bash (75) + Read (74) + mcp__file_system__read_file (47)** — the "investigate" pattern. Nearly every interaction involves reading something.
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- **mcp__file_system__list_directory (42)** — heavy directory traversal, often preceding file reads. Suggests exploration-before-action is the dominant workflow.
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- **TodoWrite (23)** — used in ~29% of interactions, indicating multi-step tasks are common.
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- **Task delegation (20)** — healthy delegation rate for complex subtasks.
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- **search_vault (19)** — memory/zettelkasten lookups are a core pattern.
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### Emerging Anti-Patterns
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- The RSO reflection itself is the single slowest task (438s). It's recursive overhead.
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- Repo analysis tasks (CVE dashboard, Kira configs) consistently exceed 150s — these are the prime delegation candidates.
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---
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## Q4: What Is Being Wasted?
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### Slow Interactions
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- **16 interactions >60s consumed ~56 minutes** of total processing time. If halved, that's 28 minutes of latency savings per week.
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- The 438s RSO reflection and 425s input-validation analysis together consumed 14+ minutes — nearly as much as all other slow tasks combined.
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### Redundant Patterns
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- **Bash (75) + mcp__file_system__run_command (22)** — two tools serving overlapping purposes. 22 uses of `run_command` could potentially be consolidated with Bash.
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- **Read (74) + mcp__file_system__read_file (47)** — 121 combined file reads. Some of these may be re-reads of the same files within a session.
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### Memory Waste
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- **73 of 75 memory files scored as stale** — 97% of indexed memory is not being actively referenced.
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- **2 archive candidates** with scores below -10 (ages 56–61 days): daily logs from February containing IP addresses, credentials, and status references that are now outdated.
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- The memory workspace has accumulated operational debt — most daily memory entries become noise after ~30 days.
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### Scheduled Tasks
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- The "daily API usage and cost report" appears repeatedly in memory context but no evidence of it producing actionable output this week.
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---
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## Q5: Recommendations
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### 1. `tool_usage` — Consolidate file-read tools
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**Evidence**: 74 `Read` + 47 `mcp__file_system__read_file` = 121 file reads across 80 interactions. Standardize on one tool per context to reduce overhead.
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**Action**: Default to Claude Code `Read` for local files; reserve `mcp__file_system__read_file` for MCP-only contexts (sub-agents, delegated tasks).
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### 2. `prompt` — Break complex analysis tasks into delegation chains
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**Evidence**: 6 of the top 10 slowest interactions (150–438s) involved multi-file repo analysis. These exceed the 5-minute agent timeout risk threshold.
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**Action**: For any task involving >3 files or repo-wide analysis, immediately delegate to a sub-agent with a scoped prompt rather than running inline.
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### 3. `memory` — Archive stale memory files (>30 days, score < -9)
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**Evidence**: 73 of 75 files (97%) scored stale. Top 10 archive candidates average score -10.2 with ages 33–61 days. None are being referenced in current interactions.
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**Action**: Move files with score < -9 and age > 45 days to `memory_workspace/archive/`. Retain only the last 30 days of daily logs in active memory. This would archive ~10 files immediately.
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### 4. `config` — Optimize the RSO reflection pipeline itself
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**Evidence**: The weekly reflection is the single slowest task at 438s (7.3 min). It's recursive: the observation system's most expensive operation is observing itself.
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**Action**: Pre-compute stats via a lightweight scheduled script (cron/daily) that writes a summary JSON. The weekly reflection then reads pre-computed data instead of parsing raw JSONL each time.
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### 5. `prompt` — Improve first-response quality to reduce corrections
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**Evidence**: 3 corrections + 2 refinements + 5 negative signals = 10 of 78 signals (12.8%) indicated the first response missed the mark.
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**Action**: For complex/moderate tasks, add a brief "understanding check" before executing — restate the interpreted request in one line before proceeding. This front-loads alignment and should reduce correction rate.
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---
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## Memory Scorer Output
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| Metric | Value |
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|--------|-------|
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| Files scored | 75 |
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| Core memory | 0 |
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| Active memory | 0 |
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| Archive candidates | 2 |
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| Stale candidates | 73 |
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**Top archive candidates:**
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- `memory/2026-02-18.md` — score: -12.1, age: 61d
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- `memory/2026-02-23.md` — score: -11.6, age: 56d
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- `memory/2026-03-01.md` — score: -11.0, age: 50d
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- `memory/2026-02-22.md` — score: -10.7, age: 57d
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- `memory/2026-02-26.md` — score: -10.3, age: 53d
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---
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*Generated: 2026-04-20 | Agent: RSO Weekly Reflection | Week 17*
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