SKILLEMALL.ai

BF TencentDB PostgreSQL Skill

Bundle entry for TencentDB PostgreSQL skills. It organizes five scenarios: one natural-language management-plane router, two extension-service scenarios for mem0 and REST, and two operations-plane scenarios for PG inspection and slow SQL lookup. The mem0 scenario focuses on one-sentence service deployment, while the REST scenario covers open or close requests, safe read-only invocation, and 502-style troubleshooting when runtime prerequisites are satisfied. Ambiguous targets and high-risk changes still remain guarded by repository safety rules.

ClawHub Agent Skills author: 腾讯开源 v1.0.3 MIT-0 15 files body ≈ 1 581 tokens Open the sourceclawhub.ai analyzed 9 h ago

Bundle entry for TencentDB PostgreSQL skills.

As a process F 28/100 · Will not run — References files that are not bundled: references/<skill-name>/, references/<skill-name>/SKILL.md

ProcedurePostgreSQLSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
28/100
Will not run
References files that are not bundled: references/<skill-name>/, references/<skill-name>/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 5. 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 missing-ref reference to a missing file: references/<skill-name>/
  • warning missing-ref reference to a missing file: references/<skill-name>/SKILL.md
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: references/<skill-name>/, references/<skill-name>/SKILL.md
  • 0Tools and files. 2 referenced file(s) missing: references/<skill-name>/, references/<skill-name>/SKILL.md
  • 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
  • 30Running it twice. 6 mutating operations with no state check
  • 40Consistency. Frontmatter name (TencentDB PostgreSQL Skill) differs from the folder (tencentdb-postgresql-skill)
  • 100Steps. 38 steps
  • 100Execution cost. Instruction body is 1581 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 550: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This skill is a disclosed Tencent Cloud PostgreSQL assistant that can read and change cloud database settings when the user provides credentials and an explicit target.
LLM: benign (high) · VirusTotal: · 20 Jul 2026