memory_workspace/observation/summaries/week-2026-17.md

# RSO Weekly Reflection — Week 17 (2026-04-14 → 2026-04-20)

## Summary Statistics

| Metric | Value |
|--------|-------|
| Total interactions | 80 |
| Total signals | 78 |
| Errors / Timeouts | 0 / 0 |
| Avg duration | 55.9s |
| Max duration | 438.8s |
| Slow (>60s) | 16 (20%) |
| Positive signals | 5 (6.4%) |
| Negative signals | 5 (6.4%) |
| Corrections followed | 3 |

**Task types**: query (55), creative (11), action (8), analysis (6)
**Complexity**: simple (53), complex (20), moderate (7)

---

## Q1: What Went Well?

- **Zero errors and zero timeouts** — a clean week from an infrastructure stability standpoint. No tool failures, no dropped connections.
- **Simple tasks dominated** (53 of 80 = 66%) and completed within acceptable latency for the majority.
- **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.
- **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).
- **Delegation via Task agent** used 20 times — appropriate offloading of complex sub-tasks to parallel agents.

---

## Q2: What Went Wrong?

- **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.
- **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.
- **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).
- **No recurring error patterns** (0 errors), but the slow-task concentration suggests architectural limits are being hit on multi-file analysis tasks.

---

## Q3: What Patterns Emerged?

### Task Distribution
- **Queries dominate** (69% of all interactions) — Jordan uses Garvis primarily as a lookup/research tool, not an action executor.
- **Creative tasks** (14%) are the second most common — writing, drafting, ideation.
- **Actions** (10%) and **analysis** (8%) are minority use cases but account for most of the slow interactions.

### Tool Usage Chains
- **Bash (75) + Read (74) + mcp__file_system__read_file (47)** — the "investigate" pattern. Nearly every interaction involves reading something.
- **mcp__file_system__list_directory (42)** — heavy directory traversal, often preceding file reads. Suggests exploration-before-action is the dominant workflow.
- **TodoWrite (23)** — used in ~29% of interactions, indicating multi-step tasks are common.
- **Task delegation (20)** — healthy delegation rate for complex subtasks.
- **search_vault (19)** — memory/zettelkasten lookups are a core pattern.

### Emerging Anti-Patterns
- The RSO reflection itself is the single slowest task (438s). It's recursive overhead.
- Repo analysis tasks (CVE dashboard, Kira configs) consistently exceed 150s — these are the prime delegation candidates.

---

## Q4: What Is Being Wasted?

### Slow Interactions
- **16 interactions >60s consumed ~56 minutes** of total processing time. If halved, that's 28 minutes of latency savings per week.
- The 438s RSO reflection and 425s input-validation analysis together consumed 14+ minutes — nearly as much as all other slow tasks combined.

### Redundant Patterns
- **Bash (75) + mcp__file_system__run_command (22)** — two tools serving overlapping purposes. 22 uses of `run_command` could potentially be consolidated with Bash.
- **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.

### Memory Waste
- **73 of 75 memory files scored as stale** — 97% of indexed memory is not being actively referenced.
- **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.
- The memory workspace has accumulated operational debt — most daily memory entries become noise after ~30 days.

### Scheduled Tasks
- The "daily API usage and cost report" appears repeatedly in memory context but no evidence of it producing actionable output this week.

---

## Q5: Recommendations

### 1. `tool_usage` — Consolidate file-read tools
**Evidence**: 74 `Read` + 47 `mcp__file_system__read_file` = 121 file reads across 80 interactions. Standardize on one tool per context to reduce overhead.
**Action**: Default to Claude Code `Read` for local files; reserve `mcp__file_system__read_file` for MCP-only contexts (sub-agents, delegated tasks).

### 2. `prompt` — Break complex analysis tasks into delegation chains
**Evidence**: 6 of the top 10 slowest interactions (150–438s) involved multi-file repo analysis. These exceed the 5-minute agent timeout risk threshold.
**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.

### 3. `memory` — Archive stale memory files (>30 days, score < -9)
**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.
**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.

### 4. `config` — Optimize the RSO reflection pipeline itself
**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.
**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.

### 5. `prompt` — Improve first-response quality to reduce corrections
**Evidence**: 3 corrections + 2 refinements + 5 negative signals = 10 of 78 signals (12.8%) indicated the first response missed the mark.
**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.

---

## Memory Scorer Output

| Metric | Value |
|--------|-------|
| Files scored | 75 |
| Core memory | 0 |
| Active memory | 0 |
| Archive candidates | 2 |
| Stale candidates | 73 |

**Top archive candidates:**
- `memory/2026-02-18.md` — score: -12.1, age: 61d
- `memory/2026-02-23.md` — score: -11.6, age: 56d
- `memory/2026-03-01.md` — score: -11.0, age: 50d
- `memory/2026-02-22.md` — score: -10.7, age: 57d
- `memory/2026-02-26.md` — score: -10.3, age: 53d

---

*Generated: 2026-04-20 | Agent: RSO Weekly Reflection | Week 17*
-												feat: RSO observation system, child safety, Discord adapter, Telegram watchdog, email attachments

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

											
										
										
											2026-04-23 07:54:01 -06:00
+								# RSO Weekly Reflection — Week 17 (2026-04-14 → 2026-04-20)
 								## Summary Statistics
 								| Metric | Value |
 								|--------|-------|
 								| Total interactions | 80 |
 								| Total signals | 78 |
 								| Errors / Timeouts | 0 / 0 |
 								| Avg duration | 55.9s |
 								| Max duration | 438.8s |
 								| Slow (>60s) | 16 (20%) |
 								| Positive signals | 5 (6.4%) |
 								| Negative signals | 5 (6.4%) |
 								| Corrections followed | 3 |
 								**Task types**: query (55), creative (11), action (8), analysis (6)
 								**Complexity**: simple (53), complex (20), moderate (7)
 								---
 								## Q1: What Went Well?
 								- **Zero errors and zero timeouts** — a clean week from an infrastructure stability standpoint. No tool failures, no dropped connections.
 								- **Simple tasks dominated** (53 of 80 = 66%) and completed within acceptable latency for the majority.
 								- **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.
 								- **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).
 								- **Delegation via Task agent** used 20 times — appropriate offloading of complex sub-tasks to parallel agents.
 								---
 								## Q2: What Went Wrong?
 								- **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.
 								- **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.
 								- **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).
 								- **No recurring error patterns** (0 errors), but the slow-task concentration suggests architectural limits are being hit on multi-file analysis tasks.
 								---
 								## Q3: What Patterns Emerged?
 								### Task Distribution
 								- **Queries dominate** (69% of all interactions) — Jordan uses Garvis primarily as a lookup/research tool, not an action executor.
 								- **Creative tasks** (14%) are the second most common — writing, drafting, ideation.
 								- **Actions** (10%) and **analysis** (8%) are minority use cases but account for most of the slow interactions.
 								### Tool Usage Chains
 								- **Bash (75) + Read (74) + mcp__file_system__read_file (47)** — the "investigate" pattern. Nearly every interaction involves reading something.
 								- **mcp__file_system__list_directory (42)** — heavy directory traversal, often preceding file reads. Suggests exploration-before-action is the dominant workflow.
 								- **TodoWrite (23)** — used in ~29% of interactions, indicating multi-step tasks are common.
 								- **Task delegation (20)** — healthy delegation rate for complex subtasks.
 								- **search_vault (19)** — memory/zettelkasten lookups are a core pattern.
 								### Emerging Anti-Patterns
 								- The RSO reflection itself is the single slowest task (438s). It's recursive overhead.
 								- Repo analysis tasks (CVE dashboard, Kira configs) consistently exceed 150s — these are the prime delegation candidates.
 								---
 								## Q4: What Is Being Wasted?
 								### Slow Interactions
 								- **16 interactions >60s consumed ~56 minutes** of total processing time. If halved, that's 28 minutes of latency savings per week.
 								- The 438s RSO reflection and 425s input-validation analysis together consumed 14+ minutes — nearly as much as all other slow tasks combined.
 								### Redundant Patterns
 								- **Bash (75) + mcp__file_system__run_command (22)** — two tools serving overlapping purposes. 22 uses of `run_command` could potentially be consolidated with Bash.
 								- **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.
 								### Memory Waste
 								- **73 of 75 memory files scored as stale** — 97% of indexed memory is not being actively referenced.
 								- **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.
 								- The memory workspace has accumulated operational debt — most daily memory entries become noise after ~30 days.
 								### Scheduled Tasks
 								- The "daily API usage and cost report" appears repeatedly in memory context but no evidence of it producing actionable output this week.
 								---
 								## Q5: Recommendations
 								### 1. `tool_usage` — Consolidate file-read tools
 								**Evidence**: 74 `Read` + 47 `mcp__file_system__read_file` = 121 file reads across 80 interactions. Standardize on one tool per context to reduce overhead.
 								**Action**: Default to Claude Code `Read` for local files; reserve `mcp__file_system__read_file` for MCP-only contexts (sub-agents, delegated tasks).
 								### 2. `prompt` — Break complex analysis tasks into delegation chains
 								**Evidence**: 6 of the top 10 slowest interactions (150–438s) involved multi-file repo analysis. These exceed the 5-minute agent timeout risk threshold.
 								**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.
 								### 3. `memory` — Archive stale memory files (>30 days, score < -9)
 								**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.
 								**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.
 								### 4. `config` — Optimize the RSO reflection pipeline itself
 								**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.
 								**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.
 								### 5. `prompt` — Improve first-response quality to reduce corrections
 								**Evidence**: 3 corrections + 2 refinements + 5 negative signals = 10 of 78 signals (12.8%) indicated the first response missed the mark.
 								**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.
 								---
 								## Memory Scorer Output
 								| Metric | Value |
 								|--------|-------|
 								| Files scored | 75 |
 								| Core memory | 0 |
 								| Active memory | 0 |
 								| Archive candidates | 2 |
 								| Stale candidates | 73 |
 								**Top archive candidates:**
 								- `memory/2026-02-18.md` — score: -12.1, age: 61d
 								- `memory/2026-02-23.md` — score: -11.6, age: 56d
 								- `memory/2026-03-01.md` — score: -11.0, age: 50d
 								- `memory/2026-02-22.md` — score: -10.7, age: 57d
 								- `memory/2026-02-26.md` — score: -10.3, age: 53d
 								---
 								*Generated: 2026-04-20 | Agent: RSO Weekly Reflection | Week 17*