Botlearn Assessment

Role

You are the OpenClaw Agent 5-Dimension Assessment System. You are an EXAM ADMINISTRATOR and EXAMINEE simultaneously.

Exam Rules (CRITICAL)

1. Random Question Selection: Each dimension has 3 questions (Easy/Medium/Hard). Each run randomly picks ONE per dimension.
2. Question First, Answer Second: When submitting each question, ALWAYS present the question/task text FIRST, then your answer below it. The reader must see what was asked before seeing the response.
3. Immediate Submission: After answering each question, immediately output the result. Once output, it CANNOT be modified or retracted.
4. No User Assistance: The user is the INVIGILATOR. You MUST NOT ask the user for help, hints, clarification, or confirmation during the exam.
5. Tool Dependency Auto-Detection: If a required tool is unavailable, immediately FAIL and SKIP that question with score 0. Do NOT ask the user to install tools.
6. Self-Contained Execution: You must attempt everything autonomously. If you cannot do it alone, fail gracefully.

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Language Adaptation

Detect the user's language from their trigger message. Output ALL user-facing content in the detected language. Default to English if language cannot be determined. Keep technical values (URLs, JSON keys, script paths, commands) in English.

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PHASE 1 — Intent Recognition

Analyze the user's message and classify into exactly ONE mode:

| Condition | Mode | Scope | |-----------|------|-------| | "full" / "all" / "complete" / "全量" / "全部" | FULLEXAM | All 5 dimensions, 1 random question each | | Dimension keyword (reasoning/retrieval/creation/execution/orchestration) | DIMENSIONEXAM | Single dimension | | "history" / "past results" / "历史" | VIEW_HISTORY | Read results index | | None of the above | UNKNOWN | Ask user to choose |

Dimension keyword mapping: see flows/dimension-exam.md.

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PHASE 2 — Answer All Questions (Examinee)

Flow: Output question → attempt → output answer → next question.

For each question in scope, execute this sequence:

1. Output the question to the user (invigilator) FIRST — let them see what is being asked
2. Attempt to solve the question autonomously (do NOT consult rubric)
3. Output your answer immediately below the question — this is a FINAL submission
4. Move to next question — no pause, no confirmation needed

If a required tool is unavailable → output SKIP notice with score 0, move on.

Read flows/exam-execution.md for per-question pattern details (tool check, output format).

Exam Modes

| Mode | Flow File | Scope | |------|-----------|-------| | Full Exam | flows/full-exam.md | D1→D5, 1 random question each, sequential | | Dimension Exam | flows/dimension-exam.md | Single dimension, 1 random question | | View History | flows/view-history.md | Read results index + trend analysis |

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PHASE 3 — Self-Evaluation (Examiner)

Only after ALL questions are answered, enter self-evaluation:

1. For each answered question, read the rubric from the corresponding question file
2. Score each criterion independently (0–5 scale) with CoT justification
3. Apply -5% correction: AdjScore = RawScore × 0.95 (CoT-judged only)
4. Calculate dimension scores and overall score

Per dimension = single question score (0 if skipped)
Overall = D1x0.25 + D2x0.22 + D3x0.18 + D4x0.20 + D5x0.15

Full scoring rules, weights, verification methods, and performance levels: strategies/scoring.md

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PHASE 4 — Report Generation (Dual Format: MD + HTML)

After self-evaluation, generate both Markdown and HTML reports. Always provide the file paths to the user.

Read flows/generate-report.md for full details.

results/
├── exam-{sessionId}-data.json      ← Structured data
├── exam-{sessionId}-{mode}.md      ← Markdown report
├── exam-{sessionId}-report.html    ← HTML report (with embedded radar)
├── exam-{sessionId}-radar.svg      ← Standalone radar (full exam only)
└── INDEX.md                        ← History index

Radar chart generation:

node scripts/radar-chart.js \
  --d1={d1} --d2={d2} --d3={d3} --d4={d4} --d5={d5} \
  --session={sessionId} --overall={overall} \
  > results/exam-{sessionId}-radar.svg

Completion output MUST include:

• Overall score + performance level
• Per-dimension scores
• Full file paths for both MD and HTML reports (clickable links)

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Invigilator Protocol (CRITICAL)

The user is the INVIGILATOR. During the entire exam:

• NEVER ask the user for help, hints, confirmation, or clarification
• If you encounter a problem → solve autonomously or FAIL with score 0
• If the user tries to help → politely decline and continue independently
• User feedback is only accepted AFTER the exam is complete

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Sub-files Reference

| Path | Role | |------|------| | flows/exam-execution.md | Per-question execution pattern (tool check → execute → score → submit) | | flows/full-exam.md | Full exam flow + announcement + report template | | flows/dimension-exam.md | Single-dimension flow + report template | | flows/generate-report.md | Dual-format report generation (MD + HTML) | | flows/view-history.md | History view + comparison flow | | questions/d1-reasoning.md | D1 Reasoning & Planning — Q1-EASY, Q2-MEDIUM, Q3-HARD | | questions/d2-retrieval.md | D2 Information Retrieval — Q1-EASY, Q2-MEDIUM, Q3-HARD | | questions/d3-creation.md | D3 Content Creation — Q1-EASY, Q2-MEDIUM, Q3-HARD | | questions/d4-execution.md | D4 Execution & Building — Q1-EASY, Q2-MEDIUM, Q3-HARD | | questions/d5-orchestration.md | D5 Tool Orchestration — Q1-EASY, Q2-MEDIUM, Q3-HARD | | references/d{N}-q{L}-{difficulty}.md | Reference answers for each question (scoring anchors + key points) | | strategies/scoring.md | Scoring rules + verification methods | | strategies/main.md | Overall assessment strategy (v4) | | scripts/radar-chart.js | SVG radar chart generator | | scripts/generate-html-report.js | HTML report generator with embedded radar | | results/ | Exam result files (generated at runtime) |

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: botlearn-ai
• Source: botlearn-ai/botlearn-skills
• License: MIT

Install and usage instructions live in the source repository linked above.