BD crebee-social-media-gateway
CreBee 社交媒体网关。当用户需要管理社交媒体账号、发布内容(视频/图文/文章)、获取数据分析、访问粉丝画像、搜索话题/活动/音乐、或与抖音、B站、小红书、快手等平台交互时触发此技能。适用于 AI Agent 自动化管理中国社交媒体平台运营。 触发场景: - 发布内容到社交媒体平台 - 获取账号列表或账号信息 - 查询分析数据、数据概览、表现指标 - 访问粉丝/观众画像 - 搜索话题、标签、音乐、活动 - 管理抖音、B站、小红书、快手等平台的内容
CreBee 社交媒体网关。当用户需要管理社交媒体账号、发布内容(视频/图文/文章)、获取数据分析、访问粉丝画像、搜索话题/活动/音乐、或与抖音、B站、小红书、快手等平台交互时触发此技能。适用于 AI Agent 自动化管理中国社交媒体平台运营。 触发场景: - 发布内容到社交媒体平台 - 获取账号列表或账号信息…
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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Secrets in code
secret-high-entropy-tokenreferences/platforms/qiehao.md:155High-entropy token-like string (may be an id, hash or a credential)#### getS…urs
Files scanned: 19. 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")
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
- 30Running it twice. 16 mutating operations with no state check
- 40Consistency. Frontmatter name (crebee-social-media-gateway) differs from the folder (crebee-agent-skill-v1-9-9)
- 100Tools and files. No external tools needed
- 100Steps. 38 steps
- 100Execution cost. Instruction body is 3049 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
- -4Absolute local paths (C:\Users, /home/…): not portable
- -2localhost URLs: will not work for another user
- +1No license
- +2Single-language instructions
- +3Description length 228: enough signal without eating the budget
- +4Structure: 27 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (16 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.