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CD my_stock_longbridge_skill

长桥证券(Longbridge)OpenAPI 集成与交易管理技能

ClawHub Agent Skills author: canonxu v1.0.2 MIT-0 13 files body ≈ 147 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 36/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype 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
C
64/100
safety, quality, tests
Safety 60%
72
Quality 40%
52
Run on models
none yet
Process rating
D
36/100
Unfinished process
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Secrets in code medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

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 If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail.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. 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 · 16

✓ No critical or high findings

Medium and low: 16
  • medium Secrets in code secret-labelled-token cancel_order.py:5
    Labelled token / key literal (vendor format unknown — verify it is not a live credential)
    APP_SECRET = "6f92…111"
  • medium Secrets in code secret-labelled-token sell_nbis.py:5
    Labelled token / key literal (vendor format unknown — verify it is not a live credential)
    APP_SECRET = "6f92…111"
  • medium Secrets in code secret-labelled-token stock_manager.py:12
    Labelled token / key literal (vendor format unknown — verify it is not a live credential)
    APP_SECRET = "6f92…111"
  • low Obfuscation obf-base64-blob cancel_order.py:6
    Long base64-looking blob (quoted — discussed, not commanded)
    ACCESS_TOKEN = "m_ey…MWF
    quoted
  • low Secrets in code secret-labelled-token cancel_order.py:6
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    ACCESS_TOKEN = "m_ey…MWF
    placeholder
  • low Secrets in code secret-password-literal cancel_order.py:6
    Hard-coded password / key literal (may be an example) (placeholder value)
    ACCESS_TOKEN = "m_ey…MWF
    placeholder
  • low Secrets in code secret-labelled-token inspect_submit.py:3
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (test fixture / example file)
    APP_SECRET = "6f92…111"
    fixture
  • low Obfuscation obf-base64-blob inspect_submit.py:4
    Long base64-looking blob (test fixture / example file; quoted — discussed, not commanded)
    ACCESS_TOKEN = "m_ey…MWF
    fixturequoted
  • low Secrets in code secret-labelled-token inspect_submit.py:4
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    ACCESS_TOKEN = "m_ey…MWF
    placeholder
  • low Secrets in code secret-password-literal inspect_submit.py:4
    Hard-coded password / key literal (may be an example) (placeholder value)
    ACCESS_TOKEN = "m_ey…MWF
    placeholder
  • low Obfuscation obf-base64-blob sell_nbis.py:6
    Long base64-looking blob (quoted — discussed, not commanded)
    ACCESS_TOKEN = "m_ey…MWF
    quoted
  • low Secrets in code secret-labelled-token sell_nbis.py:6
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    ACCESS_TOKEN = "m_ey…MWF
    placeholder
  • low Secrets in code secret-password-literal sell_nbis.py:6
    Hard-coded password / key literal (may be an example) (placeholder value)
    ACCESS_TOKEN = "m_ey…MWF
    placeholder
  • low Obfuscation obf-base64-blob stock_manager.py:13
    Long base64-looking blob (quoted — discussed, not commanded)
    ACCESS_TOKEN = "m_ey…MWF
    quoted
  • low Secrets in code secret-labelled-token stock_manager.py:13
    Labelled token / key literal (vendor format unknown — verify it is not a live credential) (placeholder value)
    ACCESS_TOKEN = "m_ey…MWF
    placeholder
  • low Secrets in code secret-password-literal stock_manager.py:13
    Hard-coded password / key literal (may be an example) (placeholder value)
    ACCESS_TOKEN = "m_ey…MWF
    placeholder

Files scanned: 13. 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-short description under 40 chars: too little signal for triggering
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 36/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (my_stock_longbridge_skill) differs from the folder (my-stock-longbridge-skill)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 8 steps
  • 100Execution cost. Instruction body is 147 tokens

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 33: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 8 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 52.

External checks

ClawHub: suspicious
This stock-trading skill should go to Review because it embeds brokerage credentials, can place or cancel preset orders, and can forward private order details to a fixed recipient.
LLM: suspicious (high) · VirusTotal: · 29 May 2026