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CD dbcheck

执行 MySQL、PostgreSQL、Oracle、SQL Server、DM8、TiDB、IvorySQL、GBase 8s、YashanDB、KingbaseES 数据库健康巡检，内置 130+ 条增强风险分析规则，一键生成专业 Word 巡检报告。适用于 DBA 和运维人员快速掌握数据库运行状况、排查风险。项目地址：https://github.com/fiyo/DBCheck

ClawHub Agent Skills author: fiyo v2.6.2 MIT-0 29 files · 22 scripts body ≈ 2 498 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

执行 MySQL、PostgreSQL、Oracle、SQL Server、DM8、TiDB、IvorySQL、GBase 8s、YashanDB、KingbaseES 数据库健康巡检，内置 130+ 条增强风险分析规则，一键生成专业 Word 巡检报告。适用于 DBA…

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePostgreSQLMySQLGitHubWordSoftware 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
C
85/100
safety, quality, tests
Safety 60%
97
Quality 40%
68
Run on models
none yet
Process rating
D
48/100
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

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 Risky intent intent-offensive-security security.md:16
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    **No network communication, no remote execution, no privilege escalation.**
  • low Dangerous commands cmd-pipe-to-shell security.md:56
    Downloads and executes remote code from an unrecognised host (pipe to shell) (documentation table row; documentation of a security skill)
    | `curl ... | bash` (remote code download) | None — all code is bundled locally |
    tablesecurity skill
  • low Risky intent intent-offensive-security security.md:58
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | Sends data to remote C2 server | No — no network exfiltration whatsoever |

Files scanned: 29. 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 48/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 42 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2498 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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
  • -220 emoji in the instructions: noise for the model
  • -318 of 19 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 194: enough signal without eating the budget
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (17 code blocks)
  • +1License stated

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

External checks

ClawHub: suspicious
DBCheck is a real database inspection skill, but it handles database and SSH credentials and can expose sensitive infrastructure details in ways that are broader and less clearly disclosed than users are told.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026