BF autoglm-deepresearch
对用户提出的课题进行深度研究和调研，输出结构化的深度报告。当用户需要深入了解某个话题、做行业调研、专题研究、竞品分析等场景时使用此 skill。 与普通搜索不同，deepresearch 会先做少量定向搜索，再对少量关键页面进行深度阅读，过程中优先展示中间发现，最后再做总结，避免因调用次数过多导致响应过慢。 Token 通过本地服务 http://127.0.0.1:53699/get_token 自动获取，无需手动配置环境变量。
As a process F 35/100 · Will not run — References files that are not bundled: URL
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: URL
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: URL
- 0Tools and files. 1 referenced file(s) missing: URL
- 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
- 100Steps. 26 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 588 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)
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 217: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 26 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.
External checks
ClawHub: clean
This skill is a disclosed AutoGLM research helper that sends search queries and selected URLs to documented APIs and uses a documented local token service, with no evidence of hidden persistence or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026