SKILLEMALL.ai

BF team-memory

私人团队记忆管理系统 v2.6.0,面向管理者的本地 Markdown 长期记忆副驾。用于记录团队成员观察、1:1 沟通、OKR/绩效证据、相关方需求/投诉/反馈、上级期望和公司战略;维护成员档案、时间轴、蒸馏摘要、相关方画像和智能待办台账;生成团队情况一图流/A4 团队看板、同构概要文字版、1:1 准备、周报/月报、绩效材料、晋升评估、项目复盘、相关方沟通准备和向上汇报;支持旧 Markdown 导入、v1 数据兼容、主库锁定、JSONL/SQLite 机器索引、完整导出和本地隐私保护。

ClawHub Agent Skills author: jichengkai v2.6.0 MIT-0 24 files body ≈ 1 707 tokens Open the sourceclawhub.ai analyzed 27 h ago

私人团队记忆管理系统 v2.6.0,面向管理者的本地 Markdown 长期记忆副驾。用于记录团队成员观察、1:1 沟通、OKR/绩效证据、相关方需求/投诉/反馈、上级期望和公司战略;维护成员档案、时间轴、蒸馏摘要、相关方画像和智能待办台账;生成团队情况一图流/A4 团队看板、同构概要文字版、1:1…

As a process F 33/100 · Will not run — References files that are not bundled: scripts/adopt-data.py, scripts/init.sh, scripts/doctor.py

ProcedureOperations and projectstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
61
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: scripts/adopt-data.py, scripts/init.sh, scripts/doctor.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/adopt-data.py
  • warning missing-ref reference to a missing file: scripts/init.sh
  • warning missing-ref reference to a missing file: scripts/doctor.py
  • warning missing-ref reference to a missing file: scripts/new-member.sh
  • warning missing-ref reference to a missing file: references/team-dashboard.md
  • warning missing-ref reference to a missing file: references/upgrade.md
  • warning missing-ref reference to a missing file: scripts/migrate-v1-to-v2.sh
  • warning missing-ref reference to a missing file: scripts/import-member-markdown.sh
  • warning missing-ref reference to a missing file: scripts/rebuild-index.py
  • warning missing-ref reference to a missing file: scripts/export-data.py
  • warning missing-ref reference to a missing file: references/usage.md
  • warning missing-ref reference to a missing file: references/record-templates.md
  • warning missing-ref reference to a missing file: references/scenario-examples.md
  • warning missing-ref reference to a missing file: references/troubleshooting.md
  • warning missing-ref reference to a missing file: references/import-markdown.md

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: scripts/adopt-data.py, scripts/init.sh, scripts/doctor.py
  • 0Tools and files. 15 referenced file(s) missing: scripts/adopt-data.py, scripts/init.sh, scripts/doctor.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
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 89 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1707 tokens
  • low 13 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
  • +2Single-language instructions
  • +3Description length 247: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 89 items
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: clean
This is a disclosed local team-memory tool for sensitive personnel notes, with no evidence of hidden network access, credential use, destructive behavior, or background persistence.
LLM: benign (high) · VirusTotal: · 10 Jul 2026