BF hf-daily-deep-researcher
HuggingFace Daily Papers + arXiv 多Agent深度研究系统。 采用编排器+专业Agent架构，支持两种模式： 1. 轻量扫描模式：周期性追踪（周/月），发现新论文 2. 深度调研模式：全时间范围调研，产出全面深入的研究报告 支持动态配置、自适应关键词、周期版本控制、跨平台搜索工具适配。
HuggingFace Daily Papers + arXiv 多Agent深度研究系统。 采用编排器+专业Agent架构，支持两种模式： 1.
As a process F 34/100 · Will not run — References files that are not bundled: templates/report_template.md, templates/deep_report_template.md
This is a copy of a skill from another catalog; the rating counts the canonical one: hf-daily-deep-researcher (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: 3. 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: templates/report_template.md - warning
missing-refreference to a missing file: templates/deep_report_template.md
Process rating: all ten parameters 34/100
Will not run. References files that are not bundled: templates/report_template.md, templates/deep_report_template.md
- 0Tools and files. 2 referenced file(s) missing: templates/report_template.md, templates/deep_report_template.md
- 0Result and completion. Does not say what the result is
- 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 (hf-daily-deep-researcher) differs from the folder (hf-daily-researcher-min)
- 50Failures and branches. 0 branches, has a failure section
- 70Execution cost. Instruction body is 4826 tokens
- 100Steps. 76 steps
- 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 159: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 76 items
- +4Has examples (17 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.
External checks
ClawHub: clean
This skill is a research-reporting helper with disclosed web search, local report storage, sub-agents, and optional Feishu publishing, but users should treat research interests and reports as potentially sensitive.
LLM: benign (high) · VirusTotal: · 10 Jul 2026