BF deep-research-ppt-pro
v2.0 Pro版：端到端自动化研究报告与PPT生成器。结合ZeeLin深度研究、.gov域名数据验证、原创概念生成、Gemini 3.1图像生成与OCR错别字核验。输入任意主题，即可自动生成一份包含原创思想、数据来源可追溯的深度研究报告，并将其转化为一份视觉惊艳、内容严谨、无错别字的专业级PPT/PDF。
As a process F 28/100 · Will not run — References files that are not bundled: references/zeelin_api.md, references/prompt_design.md, scripts/data_validator.py
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: 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: references/zeelin_api.md - warning
missing-refreference to a missing file: references/prompt_design.md - warning
missing-refreference to a missing file: scripts/data_validator.py - warning
missing-refreference to a missing file: scripts/concept_generator.py
Process rating: all ten parameters 28/100
Will not run. References files that are not bundled: references/zeelin_api.md, references/prompt_design.md, scripts/data_validator.py
- 0Tools and files. 4 referenced file(s) missing: references/zeelin_api.md, references/prompt_design.md, scripts/data_validator.py
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (deep-research-ppt-pro) differs from the folder (desearch-ppt)
- 100Steps. 23 steps
- 100Execution cost. Instruction body is 1376 tokens
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
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 154: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.
External checks
ClawHub: suspicious
This skill mostly matches its research-to-PPT purpose, but it can run privileged system package installation during normal execution, so users should review it before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026