BD bidhunter
国央企招投标信息监控与研判技能。自动采集多平台公告，按资质规则比对可投性（可投/不可投/需确认），生成带研判简报并多通道推送。v1.5 起新增：资质匹配度评分(0-100)、投标日历与开标倒计时、金额/地区/行业多维筛选、零代码规则编辑器、诊断中心、示例模式、集中FAQ、统一命令入口；v2.0 本地AI增强（招标文件AI速读+风险条款识别，零云成本）；v2.5 投标策略建议生成；v3.0 本地开放API+签名webhook；v3.5 合规红线引擎（31条法定废标红线本地扫描、交标前自查清单、多主体串标隔离，零API成本）。边界感知智能匹配防子串误匹配，规则库健康检查，钉钉/企业微信/邮件推送。触发词：抓招投标、今日哪些能投、标讯监控、标书研判、招投标公告、央企招标、投标资质匹配、AI读标书、投标建议、这份标会不会被废、废标风险、交标前检查、合规红线扫描、多主体投标、会不会被认定串标。
国央企招投标信息监控与研判技能。自动采集多平台公告，按资质规则比对可投性（可投/不可投/需确认），生成带研判简报并多通道推送。v1.5 起新增：资质匹配度评分(0-100)、投标日历与开标倒计时、金额/地区/行业多维筛选、零代码规则编辑器、诊断中心、示例模式、集中FAQ、统一命令入口；v2.0…
As a process D 48/100 · 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: 42. 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 "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "summary" - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 48/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 100Steps. 38 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2112 tokens
- low 11 top-level sections: this looks like several domains in one skill
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
- -34 of 21 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +3Description length 397: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (3 of 4)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.