BF arxiv-daily
每日 arXiv 论文获取加整理技能。当用户想要获取每日 arXiv 论文相关领域论文、设置论文订阅、管理论文推送时间、添加新的论文领域时触发。也用于用户询问"arxiv"、"每日论文"、"论文推送"等相关话题时。
As a process F 31/100 · Will not run — References files that are not bundled: references/like-<category>.txt
This is a copy of a skill from another catalog; the rating counts the canonical one: arxiv-daily (ClawHub)
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.
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: 4. 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: references/like-<category>.txt
Process rating: all ten parameters 31/100
Will not run. References files that are not bundled: references/like-<category>.txt
- 0Tools and files. 1 referenced file(s) missing: references/like-<category>.txt
- 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
- 40Consistency. Frontmatter name (arxiv-daily) differs from the folder (arixv-daily)
- 100Steps. 53 steps
- 100Execution cost. Instruction body is 794 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (8 tags): a typed call is more reliable
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)
- +3Description length 107: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 14 headings
- +3Step-by-step instructions: 53 items
- +4Has examples (7 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: suspicious
This appears to be a real arXiv digest helper, but it needs Review because it can modify the host Python environment and stores chat-routing details without enough scoping or privacy guidance.
LLM: suspicious (high) · VirusTotal: · 29 May 2026