BD autonomous-deep-research
自主深度研究（整合与进阶·元能力）。给定一个开放研究问题，agent 自主完成： 问题分解→多源检索(rag / web-fetch)→综合与交叉验证→反思覆盖度→迭代逼近答案。 对标一线大模型智能体的「深度研究」能力（如 Deep Research），且可离线/在线双模运行、 自带置信度校准与未解缺口标记。当需要对一个复杂、多侧面问题做有依据、可追溯、可迭代的研究时使用。
自主深度研究（整合与进阶·元能力）。给定一个开放研究问题，agent 自主完成： 问题分解→多源检索(rag / web-fetch)→综合与交叉验证→反思覆盖度→迭代逼近答案。 对标一线大模型智能体的「深度研究」能力（如 Deep Research），且可离线/在线双模运行、…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 5. 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") - note
frontmatter-keyunknown frontmatter key "agent_created" - note
frontmatter-keyunknown frontmatter key "visibility"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 5 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 273 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
- +1No license
- +2Single-language instructions
- +3Description length 188: enough signal without eating the budget
- +4Structure: 5 headings
- +3Step-by-step instructions: 5 items
- +4Has examples (2 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.