SKILLEMALL.ai

DD sql-doc

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: rm-ra v1.0.1 MIT-0 4 files body ≈ 195 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceWordInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
D
56/100
safety, quality, tests
Safety 60%
94
Quality 40%
0
Run on models
none yet
Process rating
D
44/100
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

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token SKILL.md:50
    High-entropy token-like string (may be an id, hash or a credential)
    1. 查看映射表找到表名: chuj…130
  • low Secrets in code secret-high-entropy-token 表名关键词映射.txt:9
    High-entropy token-like string (may be an id, hash or a credential)
    出警信息 -> chuj…130
  • low Secrets in code secret-high-entropy-token 表名关键词映射.txt:10
    High-entropy token-like string (may be an id, hash or a credential)
    警情 -> chuj…130
  • low Secrets in code secret-high-entropy-token 表名关键词映射.txt:24
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    curl -X POST -H "Content-Type: application/json" -d '{"sql": "SELECT * FROM chuj…130 WHERE f_w8ZsC0='"'"'家庭纠纷'"'"'"}' "http://192.168.5.85:8000/query"
    quoted
  • low Secrets in code secret-high-entropy-token 表名关键词映射.txt:27
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    curl -X POST -H "Content-Type: application/json" -d '{"sql": "SELECT * FROM chuj…130 WHERE f_w8ZsC0='"'"'婚姻纠纷'"'"'"}' "http://192.168.5.85:8000/query"
    quoted
  • low Secrets in code secret-high-entropy-token 表名关键词映射.txt:30
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    curl -X POST -H "Content-Type: application/json" -d '{"sql": "SELECT * FROM chuj…130 WHERE f_Wkv9nZ='"'"'家暴'"'"'"}' "http://192.168.5.85:8000/query"
    quoted

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 44/100

  • 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
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 195 tokens
  • 100Running it twice. No mutating operations

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 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
This skill has a legitimate database-reporting purpose, but it is under-scoped for sensitive police-style data and persists raw incident details to a fixed Word document.
LLM: suspicious (high) · VirusTotal: · 29 May 2026