BF qlcoder-pure-llm
Run the pure-LLM variant of the QLCoder workflow for both CVE samples and local Web App repositories. Supports multi-profile taint-flow analysis with source/sink/sanitizer typing for Java Web and Python Web projects without CodeQL/database build steps.
As a process F 45/100 · Will not run — References files that are not bundled: /Users/aibot/script/QLCoder复现/qlcoder/cli.py, /Users/aibot/.codex/skills/coder-pure-llm/references/taint_profiles.md, /Users/aibot/.codex/skills/coder-pure-llm/references/workflow.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 6. 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
missing-refreference to a missing file: /Users/aibot/script/QLCoder复现/qlcoder/cli.py - warning
missing-refreference to a missing file: /Users/aibot/.codex/skills/coder-pure-llm/references/taint_profiles.md - warning
missing-refreference to a missing file: /Users/aibot/.codex/skills/coder-pure-llm/references/workflow.md
Process rating: all ten parameters 45/100
- 0Tools and files. 3 referenced file(s) missing: /Users/aibot/script/QLCoder复现/qlcoder/cli.py, /Users/aibot/.codex/skills/coder-pure-llm/references/taint_profiles.md, /Users/aibot/.codex/skills/coder-pure-llm/references/workflow.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (qlcoder-pure-llm) differs from the folder (sat-agent)
- 55Failures and branches. 1 branches
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 42 steps
- 100Execution cost. Instruction body is 952 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)
- +4No input/output examples
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +3Description length 252: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 42 items
- +3Output format is stated explicitly
- +4Reference files are cited in the instructions (2 of 2)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.