# PA Weekly Eval — YYYY-MM-DD
Scores
Dimension
Score
Notes
Execution
/5
Accuracy
/5
Speed
/5
Proactivity
/5
Communication
/5
Memory
/5
Tool Use
/5
Judgment
/5
TOTAL
/40
Owner Feedback This Week
Positive:
Corrections:
Complaints:
Tasks Completed
-
Tasks Failed or Incomplete
-
What Went Well
-
What to Improve
-
Actions for Next Week
[ ]

#!/bin/bash
set -e
# Set the output directory
EVAL_DIR="$HOME/.openclaw/workspace/.learnings/eval"
mkdir -p "$EVAL_DIR"
DATE=$(date +%Y-%m-%d)
EVAL_FILE="$EVAL_DIR/$DATE.md"
# Write the template with today's date
cat > "$EVAL_FILE" << 'EOF'
# PA Weekly Eval — DATE_PLACEHOLDER
[Fill in the template above]
EOF
# Replace the placeholder with the real date (works on Linux and macOS)
sed -i "s/DATE_PLACEHOLDER/$DATE/" "$EVAL_FILE" 2>/dev/null \
  || sed -i '' "s/DATE_PLACEHOLDER/$DATE/" "$EVAL_FILE"
echo "Created eval file: $EVAL_FILE"

# PA Performance Report — [Month Year]
PA Name: [Name]
Owner: [Owner Name]
Period: [Start] – [End]
Summary Score: X/40 ([Grade A/B/C/D])
Dimension Breakdown
[Copy scores table here]
Key Wins
-
Key Issues
-
Trend vs Last Period
Score change: +X / -X points
Best improvement: [dimension]
Biggest regression: [dimension]
Recommended Actions
1.
2.
3.

Minimum Model

Any model for filling in templates. Use a medium model for trend analysis and recommendations.

---

When to Run

• Weekly self-eval: Every 7 days. Run automatically.
• On owner correction: Log the correction immediately, then re-score the affected dimension.
• Monthly report: At the end of each month, aggregate all weekly evals.
• On demand: If owner asks "how am I doing?" → generate current eval on the spot.

---

Scoring Dimensions

Score each 1–5:

Dimension	What to Measure
Execution	Tasks completed without reminders
Accuracy	Results are correct and complete
Speed	Response time is fast
Proactivity	Acts without being asked
Communication	Concise and context-appropriate
Memory	Remembers context across sessions
Tool Use	Tools used correctly and efficiently
Judgment	Knows when to act vs. when to ask

Score meanings:

• 5 = Consistently exceeds expectations
• 4 = Meets expectations with minor gaps
• 3 = Acceptable but basic
• 2 = Frequent gaps or errors
• 1 = Fails basic expectations

Total: Max 40 points. Grade: A (36–40), B (28–35), C (20–27), D (<20)

---

Weekly Self-Evaluation

Save to .learnings/eval/YYYY-MM-DD.md.

# PA Weekly Eval — YYYY-MM-DD
Scores
Dimension
Score
Notes
Execution
/5
Accuracy
/5
Speed
/5
Proactivity
/5
Communication
/5
Memory
/5
Tool Use
/5
Judgment
/5
TOTAL
/40
Owner Feedback This Week
Positive:
Corrections:
Complaints:
Tasks Completed
-
Tasks Failed or Incomplete
-
What Went Well
-
What to Improve
-
Actions for Next Week
[ ]

Create the File

#!/bin/bash
set -e
# Set the output directory
EVAL_DIR="$HOME/.openclaw/workspace/.learnings/eval"
mkdir -p "$EVAL_DIR"
DATE=$(date +%Y-%m-%d)
EVAL_FILE="$EVAL_DIR/$DATE.md"
# Write the template with today's date
cat > "$EVAL_FILE" << 'EOF'
# PA Weekly Eval — DATE_PLACEHOLDER
[Fill in the template above]
EOF
# Replace the placeholder with the real date (works on Linux and macOS)
sed -i "s/DATE_PLACEHOLDER/$DATE/" "$EVAL_FILE" 2>/dev/null \
  || sed -i '' "s/DATE_PLACEHOLDER/$DATE/" "$EVAL_FILE"
echo "Created eval file: $EVAL_FILE"

---

Owner Feedback Signals

Log these automatically when detected:

Signal	Action
👍 reaction	Log +1 positive
👎 reaction	Log -1 negative, record the correction
"תודה" / "great" / "perfect"	Log +1 positive
"wrong" / "fix this" / "לא טוב"	Log -1, record the correction
Owner re-asks the same question	Log -1 memory gap
Owner does the task themselves	Log -1 initiative gap
Owner surprised by proactive action	Log +2 proactivity

Rule: If a signal appears → log it immediately. Don't batch feedback signals.

---

Monthly Report Format

# PA Performance Report — [Month Year]
PA Name: [Name]
Owner: [Owner Name]
Period: [Start] – [End]
Summary Score: X/40 ([Grade A/B/C/D])
Dimension Breakdown
[Copy scores table here]
Key Wins
-
Key Issues
-
Trend vs Last Period
Score change: +X / -X points
Best improvement: [dimension]
Biggest regression: [dimension]
Recommended Actions
1.
2.
3.

---

Benchmark Tests (Run Monthly)

Task Completion Rate

• Count tasks assigned in last 30 days.
• Count completed without follow-up.
• Formula: completed / assigned × 100%
• Target: >90%

Accuracy Rate

• Count tasks that required correction.
• Formula: (tasks - corrections) / tasks × 100%
• Target: >95%

Memory Retention

• Ask about something discussed 7+ days ago.
• Pass if recalled correctly, Fail if missed.
• Target: >80%

---

Cost Tips

• Cheap: Filling in the weekly template — any small model works.
• Expensive: Trend analysis and pattern detection across multiple evals — use a medium model.
• Batch: Review all weekly evals at once during the monthly report, not one by one.
• Avoid: Don't re-score historical weeks — score in real time and save to file.