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BD modis-product-search

Comprehensive local query tool for NASA MODIS satellite products. Covers 46 products across 13 categories with bilingual (Chinese/English) descriptions, algorithm principles, band information, Google Earth Engine integration, and download information.

ClawHub Agent Skills author: ruiduobao v3.0.0 MIT-0 22 files body ≈ 1 841 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Comprehensive local query tool for NASA MODIS satellite products.

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

IntegrationSoftware developmentData and analyticstype 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
B
88/100
safety, quality, tests
Safety 60%
97
Quality 40%
75
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token data/products.json:1171
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    {"name": "BRDF…nd1", "dtype": "UInt8", "scale": 1, "description": "Band 1 BRDF quality", "description_cn": "波段1 BRDF质量"},
    quoted
  • low Secrets in code secret-high-entropy-token data/products.json:1172
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    {"name": "BRDF…nd2", "dtype": "UInt8", "scale": 1, "description": "Band 2 BRDF quality", "description_cn": "波段2 BRDF质量"},
    quoted
  • low Exfiltration net-credential-use scripts/modis_products.py:346
    Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
    lines.append(f'  wget --user {u} --password "$EARTHDATA_PASSWORD" "{product.get("download_url", "URL")}"')
    quoted

Files scanned: 21. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • 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
  • 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
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 25 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1841 tokens
  • 100Running it twice. No mutating operations
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 251: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (10 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
This is mainly a MODIS lookup skill, but it needs review because it ships hardcoded Earthdata credentials and under-disclosed credential, network, and file-write behavior.
LLM: suspicious (high) · 1 Aug 2026