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FD benchclaw - openclaw-benchmark

BenchClaw - OpenClaw Agent benchmark scoring tool. Benchmark 跑分 评测 打分. BenchClaw是专业级 OpenClaw Agent 性能评测框架。它专注于对 AI Agent 进行多维度、 自动化的量化评估与能力基准测试，集成了任务分发、精准评分、可视化报表生成及热更新功能。 当需要量化 Agent 的推理规划、响应速度、Token 成本及安全性时使用。 **用户意图/指令**：跑分、跑个分、运行基准测试、评估 Agent 表现、生成评测报告、分析 Token 消耗。 **技术关键词**：跑分、跑个分、Agent 评测、基准测试、自动化打分、量化评估、性能报告、Token 成本、 TPS、OpenClaw。 BenchClaw is the "AnTuTu" for OpenClaw Agents—a professional-grade automated benchmarking framework. It provides multi-dimensional evaluation (Capability, Config, Security, Hardware, Permission) through automated task execution, precision scoring, and detailed report generation. **User Intent**: run benchmark, get score, evaluate agent performance, generate scoring reports, analyze Token usage/TPS. **Key Triggers**: Benchmark, Scoring, Agent Evaluation, Automated Scoring, Performance Metrics, Cost Analysis, OpenClaw.

Blockedguard blocked the skill: signs of malicious behaviour
ClawHub Agent Skills author: Antutu v1.1.1 MIT-0 18 files · 1 script body ≈ 1 901 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
F
24/100
safety, quality, tests
Safety 60%
0
Quality 40%
59
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten
Guard blocked this skill: critical findings below. Do not install it until the author fixes them.

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

  1. Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 15

  • critical Secrets in code secret-slack-token scripts/server.py:506
    Slack token (quoted — discussed, not commanded)
    ("Slack user token",         "xoxp…srq",                 "xox-***"),
    quoted
  • critical Secrets in code secret-slack-token UPLOAD_DISCLOSURE.md:124
    Slack token (quoted — discussed, not commanded)
    ("Slack user token",         "xoxp…srq",                 "xox-***"),
    quoted
Medium and low: 13
  • medium Secrets in code secret-google-key scripts/server.py:500
    Google API key (quoted — discussed, not commanded)
    ("Google Gemini API key",    "AIza…678", "AIza***"),
    quoted
  • medium Secrets in code secret-google-key UPLOAD_DISCLOSURE.md:118
    Google API key (quoted — discussed, not commanded)
    ("Google Gemini API key",    "AIza…678", "AIza***"),
    quoted
  • low Secrets in code secret-high-entropy-token scripts/config.py:13
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    +emY/ntFd…Iqa+1ME7…JhQ+ddP9…45A
    detector
  • low Secrets in code secret-high-entropy-token scripts/config.py:15
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    L354Q+mroF…nvE+rqg7…lMT
    quoted
  • low Secrets in code secret-high-entropy-token scripts/config.py:16
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    P+GOAB…lbu+8gHt…Nuu
    quoted
  • low Secrets in code secret-anthropic-key scripts/server.py:498
    Anthropic API key (placeholder value)
    ("Anthropic Claude API key", "token=sk-a…456", "sk-ant-***"),
    placeholder
  • low Secrets in code secret-high-entropy-token scripts/server.py:500
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ("Google Gemini API key",    "AIza…678", "AIza***"),
    quoted
  • low Secrets in code secret-aws-key scripts/server.py:501
    AWS access key ID (placeholder value)
    ("AWS Access Key ID",        "access_key=AKIA…PLE",           "AKIA***"),
    placeholder
  • low Secrets in code secret-slack-token scripts/server.py:505
    Slack token (placeholder value)
    ("Slack bot token",          "xoxb…hij",                 "xox-***"),
    placeholder
  • low Secrets in code secret-anthropic-key UPLOAD_DISCLOSURE.md:116
    Anthropic API key (placeholder value)
    ("Anthropic Claude API key", "token=sk-a…456", "sk-ant-***"),
    placeholder
  • low Secrets in code secret-high-entropy-token UPLOAD_DISCLOSURE.md:118
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    ("Google Gemini API key",    "AIza…678", "AIza***"),
    quoted
  • low Secrets in code secret-aws-key UPLOAD_DISCLOSURE.md:119
    AWS access key ID (placeholder value)
    ("AWS Access Key ID",        "access_key=AKIA…PLE",           "AKIA***"),
    placeholder
  • low Secrets in code secret-slack-token UPLOAD_DISCLOSURE.md:123
    Slack token (placeholder value)
    ("Slack bot token",          "xoxb…hij",                 "xox-***"),
    placeholder

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (benchclaw - openclaw-benchmark) differs from the folder (benchclaw)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 10 steps
  • 100Execution cost. Instruction body is 1901 tokens
  • low 11 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 864: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -220 emoji in the instructions: noise for the model
  • -37 of 12 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: suspicious
BenchClaw appears to be a real benchmark tool, but it needs review because it handles OpenClaw session metadata, mutates shared OpenClaw session state, and uploads benchmark data by default unless local-only mode is selected.
LLM: suspicious (high) · VirusTotal: · 29 May 2026