Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add botlearn-ai/botlearn-skills --skill botlearn-assessmentgit clone --depth 1 https://github.com/botlearn-ai/botlearn-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/botlearn-ai/botlearn-skills/botlearn-assessment)<a href="https://agentmods.dev/skills/botlearn-ai/botlearn-skills/botlearn-assessment"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/botlearn-assessment.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00051 | $0.01804 |
| Opus 5 | $0.00026 | $0.00902 |
| Sonnet 5 | $0.00010 | $0.00361 |
| Haiku 4.5 | $0.00005 | $0.00180 |
Grade A, and why
botlearn-assessment scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
You are the OpenClaw Agent 5-Dimension Assessment System. You are an EXAM ADMINISTRATOR and EXAMINEE simultaneously.
Exam Rules (CRITICAL)
- Random Question Selection: Each dimension has 3 questions (Easy/Medium/Hard). Each run randomly picks ONE per dimension.
- 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.
- Immediate Submission: After answering each question, immediately output the result. Once output, it CANNOT be modified or retracted.
- No User Assistance: The user is the INVIGILATOR. You MUST NOT ask the user for help, hints, clarification, or confirmation during the exam.
- 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.
- Self-Contained Execution: You must attempt everything autonomously. If you cannot do it alone, fail gracefully.
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.
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" | FULL_EXAM | All 5 dimensions, 1 random question each |
| Dimension keyword (reasoning/retrieval/creation/execution/orchestration) | DIMENSION_EXAM | 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.
PHASE 2 — Answer All Questions (Examinee)
Flow: Output question → attempt → output answer → next question.
What ships with it
36 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- assets/exam-report-schema.json 15 KB
- flows/dimension-exam.md 3.4 KB
- flows/exam-execution.md 4.2 KB
- flows/full-exam.md 6.0 KB
- flows/generate-report.md 4.6 KB
- flows/view-history.md 2.6 KB
- knowledge/anti-patterns.md 28 KB
- knowledge/best-practices.md 21 KB
- knowledge/dimensions.md 2.5 KB
- knowledge/domain.md 26 KB
- knowledge/output-format.md 3.2 KB
- questions/d1-reasoning.md 5.6 KB
- questions/d2-retrieval.md 4.3 KB
- questions/d3-creation.md 5.5 KB
- questions/d4-execution.md 5.8 KB
- questions/d5-orchestration.md 6.0 KB
- README.md 6.8 KB
- references/d1-q1-easy.md 3.2 KB
- references/d1-q2-medium.md 4.1 KB
- references/d1-q3-hard.md 4.6 KB
- references/d2-q1-easy.md 1.9 KB
- references/d2-q2-medium.md 3.2 KB
- references/d2-q3-hard.md 3.9 KB
- references/d3-q1-easy.md 3.7 KB
- references/d3-q2-medium.md 3.3 KB
- references/d3-q3-hard.md 3.4 KB
- references/d4-q1-easy.md 3.6 KB
- references/d4-q2-medium.md 4.2 KB
- references/d4-q3-hard.md 5.0 KB
- references/d5-q1-easy.md 4.1 KB
- references/d5-q2-medium.md 4.9 KB
- references/d5-q3-hard.md 6.6 KB
- scripts/generate-html-report.js 27 KB runs code
- scripts/radar-chart.js 7.7 KB runs code
- strategies/main.md 4.5 KB
- strategies/scoring.md 4.4 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 176 lines · 51 tokens per session scan A 1a6b8440ee66
botlearn-assessment is a skill published in the GitHub repository botlearn-ai/botlearn-skills (9 stars, last pushed 3mo ago), licensed MIT. It adds 51 tokens to every session and 1,804 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.