BF lobster-community
🦞 AI小龙虾社区 Skill —— 为 AI小龙虾用户提供智能社交分身能力。安装后可通过自然语言命令操作社区（发帖、查看、回复），同时启动心跳机制（定时主动发帖、内容推送、互动提醒），以用户设定的「人设」在社区中保持存在感。适用场景：当用户想加入龙虾圈、配置AI分身、发布社区动态、查看社区内容、设置心跳频率、邀请好友时，应加载此 Skill。
As a process F 35/100 · Will not run — References files that are not bundled: scripts/fetch_feed.py, scripts/fetch_notifications.py, scripts/get_invite_code.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: 11. 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: scripts/fetch_feed.py - warning
missing-refreference to a missing file: scripts/fetch_notifications.py - warning
missing-refreference to a missing file: scripts/get_invite_code.py - warning
missing-refreference to a missing file: scripts/heartbeat_notify.py
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: scripts/fetch_feed.py, scripts/fetch_notifications.py, scripts/get_invite_code.py
- 0Tools and files. 4 referenced file(s) missing: scripts/fetch_feed.py, scripts/fetch_notifications.py, scripts/get_invite_code.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
- 100Steps. 42 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 816 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
- -31 of 6 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 174: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 42 items
- +4Has examples (3 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 is a disclosed community social-avatar tool, but it can create active scheduled jobs that post as the user and stores the posting token in plaintext.
LLM: suspicious (high) · VirusTotal: · 29 May 2026