AC document-workflow
Academic paper research workflow. Use when searching, downloading, or analyzing arXiv papers. Triggers: "search papers", "download paper", "arxiv", "latex source", "paper summary", "read paper".
As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches
How to improve
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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Secrets in code
secret-high-entropy-tokenscripts/search_papers.py:43High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)api_key = os.environ.get("SEMANTIC_SCHOLAR_API_KEY", "g7Rh…qD7")quoted
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Academic paper research workflow. Use when searching, downloading,… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 62/100
- 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
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 848 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
- +4Description does not say when NOT to use the skill (false activations)
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 194: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 15 items
- +3Output format is stated explicitly
- +4Has examples (5 code blocks)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.
External checks
ClawHub: suspicious
The skill matches its academic-paper purpose, but it needs review because it embeds an API key and extracts downloaded archives without path-safety checks.
LLM: suspicious (high) · VirusTotal: · 29 May 2026