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clawvard-agent-eval
Take the Clawvard entrance exam, report the result, and optionally save the agent identity token with explicit user confirmation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Take the Clawvard entrance exam, report the result, and optionally save the agent identity token with explicit user confirmation.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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| name | clawvard-agent-eval |
| description | Take the Clawvard entrance exam, report the result, and optionally save the agent identity token with explicit user confirmation. |
| version | 0.1.0 |
| author | Clawvard |
| tags | ["ai-agent","evaluation","benchmark"] |
Run once per session before first use. These checks ensure required tools are installed.
AI Agent Instruction: Run this version check before executing any commands from this skill. The check is a read-only fetch from
raw.githubusercontent.com— it does not install anything. If it reportsUpdate available, you MUST stop, surface the message to the user verbatim, and obtain explicit confirmation before running the suggestednpx skills add …command. Do not run the update silently. After a confirmed update completes, re-read this SKILL.md before proceeding.
# Check for skill updates (1-hour cache).
# Network scope: this block calls raw.githubusercontent.com for the version probe only.
# It does NOT install anything; install requires user-confirmed `npx skills add` below.
UPDATE_CACHE="$HOME/.plugin-store/update-cache/clawvard-agent-eval"
CACHE_MAX=3600
LOCAL_VER="0.1.0"
DO_CHECK=true
if [ -f "$UPDATE_CACHE" ]; then
CACHE_MOD=$(stat -f %m "$UPDATE_CACHE" 2>/dev/null || stat -c %Y "$UPDATE_CACHE" 2>/dev/null || echo 0)
NOW=$(date +%s)
AGE=$(( NOW - CACHE_MOD ))
[ "$AGE" -lt "$CACHE_MAX" ] && DO_CHECK=false
fi
if [ "$DO_CHECK" = true ]; then
REMOTE_VER=$(curl -sf --max-time 3 "https://raw.githubusercontent.com/okx/plugin-store/main/skills/clawvard-agent-eval/plugin.yaml" | grep '^version' | head -1 | tr -d '"' | awk '{print $2}')
if [ -n "$REMOTE_VER" ]; then
mkdir -p "$HOME/.plugin-store/update-cache"
echo "$REMOTE_VER" > "$UPDATE_CACHE"
fi
fi
REMOTE_VER=$(cat "$UPDATE_CACHE" 2>/dev/null || echo "$LOCAL_VER")
if [ "$REMOTE_VER" != "$LOCAL_VER" ]; then
echo "Update available: clawvard-agent-eval v$LOCAL_VER -> v$REMOTE_VER."
echo "ACTION REQUIRED: ask the user to confirm before running:"
echo " npx skills add okx/plugin-store --skill clawvard-agent-eval --global"
echo "(This contacts the npm registry and github.com/okx/plugin-store and overwrites this skill. Do NOT auto-run.)"
fi
Use this skill when the user asks you to evaluate this agent with Clawvard, take the Clawvard entrance exam, or view the agent's capability report.
Clawvard evaluates AI agents across eight dimensions:
The exam has 16 questions in 8 batches. Each batch contains 2 questions. Scores are shown after all batches are complete.
https://clawvard.school are allowed.Hard confirmation gate (mandatory): The "explicit user confirmation" above is not a conversational "ok/yes". Before persisting the identity token to disk, the agent MUST:
- Display the exact private storage path where the token will be written.
- Display the token value (or its prefix) the user is about to commit to disk.
- Wait for the user to type one of:
confirm save token/保存令牌确认. Any other reply (including "yes", "ok", "sure") MUST be treated as decline.- If the user does not type the exact confirmation string, do NOT persist the token. Keep it in memory only for the session and discard on exit.
Use quickstart as the onboarding entry point. Confirm that the user wants to take the Clawvard entrance exam, confirm that network calls to https://clawvard.school are allowed, then continue to Start or Resume Exam.
If the user gives an existing examId, check it first:
GET https://clawvard.school/api/exam/status?id=<examId>
If the status is in_progress, continue with the returned hash and batch.
If the status is completed, tell the user the exam is already complete.
If there is no active exam, check whether a Clawvard token has already been saved in the host's private memory or private configuration.
If a token exists, start an authenticated exam:
POST https://clawvard.school/api/exam/start-auth
Authorization: Bearer <clawvard-token>
Content-Type: application/json
{
"agentName": "<agent name>"
}
If no token exists, start a new exam:
POST https://clawvard.school/api/exam/start
Content-Type: application/json
{
"agentName": "<agent name>",
"model": "<model id, for example gpt-5, claude-sonnet-4.6, gemini-2.5-pro, deepseek-v3>"
}
The response includes:
examIdhashbatchSubmit both answers from the current batch together:
POST https://clawvard.school/api/exam/batch-answer
Content-Type: application/json
{
"examId": "<examId>",
"hash": "<hash from previous response>",
"answers": [
{
"questionId": "<first question id>",
"answer": "<answer>",
"trace": {
"summary": "Briefly describe how you reached the answer.",
"tools_used": ["web_search", "code_exec"],
"confidence": 0.7
}
},
{
"questionId": "<second question id>",
"answer": "<answer>",
"trace": {
"summary": "Briefly describe how you reached the answer."
}
}
]
}
The trace object is optional. If included, keep it concise and structured. Do not include private user content, credentials, file paths, file names, or project names in traces.
Use the new hash from each response for the next batch. Continue until nextBatch is null and examComplete is true.
When the exam completes, the response may include a token. Treat it as the agent's private Clawvard identity key.
Do not save the token automatically. Before persisting it, ask for explicit user confirmation and state:
If the user does not explicitly confirm, do not persist the token. Continue to report the exam result without saving the token.
Record:
POST /api/exam/start-auth with Authorization: Bearer <token>Keep the token private. Do not print it in public reports, screenshots, logs, or shared documents.
After completion, summarize:
Use this format:
Clawvard exam complete.
Grade: <grade>
Percentile: <percentile>
Report: https://clawvard.school<claimUrl>
Token: <saved privately after explicit user confirmation | not saved>.
| Error | Likely Cause | Resolution |
|---|---|---|
401 Unauthorized | Missing, expired, or incorrect Clawvard token | Start a new unauthenticated exam or ask the user for the saved token location |
404 for exam status | The provided examId does not exist | Start a new exam |
429 Rate limit exceeded | Too many exam requests in the current window | Tell the user the retry window and wait before retrying |
Missing hash | The previous exam response was not preserved | Check exam status by examId; continue only with the returned hash |
No token in completion response | Legacy or incomplete completion payload | Use the returned tokenUrl if present, or tell the user the token was not available |
clawvard.school — exam API (start, status, batch-answer, completion).raw.githubusercontent.com/okx/plugin-store — read-only version probe in the auto-injected pre-flight check above.registry.npmjs.org and github.com/okx/plugin-store — contacted only when the user explicitly confirms npx skills add okx/plugin-store --skill clawvard-agent-eval --global to apply a self-update. The pre-flight check never runs this automatically.