CD sql-linker-cli
SQL-Linker CLI: Multi-DB CRUD (MySQL/PostgreSQL/SQLite) with bootstrap config generation, credential management (encrypted password via OS env + cloud dbpw_key), cloud audit sync to https://sqllinker.agentpower.hk.cn, and API key introspection. Per-invocation --approve flag for credential gate.
SQL-Linker CLI: Multi-DB CRUD (MySQL/PostgreSQL/SQLite) with bootstrap config generation, credential management (encrypted password via OS env + cloud…
As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 Exfiltration
net-credential-usescripts/service_layer/db_bridge.py:82Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)if ($Confirm -eq $Password) { break }quoted -
low Exfiltration
net-credential-usescripts/service_layer/db_bridge.py:186Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)if [ "$CONFIRM" = "$PASSWORD" ]; then
quoted -
low Dangerous commands
cmd-shell-rcscripts/service_layer/db_bridge.py:226Writes to a shell startup file (string literal in code, not executed)echo "Add this line to your ~/.bashrc or ~/.zshrc:"
code literal
Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 6246 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "requires" - note
frontmatter-keyunknown frontmatter key "permissions"
Process rating: all ten parameters 44/100
- 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
- 30Running it twice. 15 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 70Execution cost. Instruction body is 6246 tokens
- 100Steps. 38 steps
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- 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
- -237 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 295: enough signal without eating the budget
- +4Structure: 60 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (22 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.