SKILLEMALL.ai

BF esign-contract

e签宝电子签名技能 — 支持 AI 生成任意类型的合同/协议并排版为 PDF, 上传已有文件发起电子签署,返回签署链接。 触发场景:用户要求生成、起草、撰写任何类型的合同或协议(如"写个借款合同"、 "帮我拟一份保密协议"、"起草租赁合同"),或要求对已有合同文件发起签署、 查询签署进度、撤销签署、下载签署文件、验证电子签名。 触发词:写合同、生成合同、起草合同、拟合同、合同排版、合同草稿、 发起签署、电子签名、签署进度、撤销签署、下载签署文件、验签、 验证签名、签署链接、e签宝、esign 不触发场景:用户仅询问合同法律条款含义、咨询签署平台选型、或讨论与 e签宝无关的其他电子签名产品。

ClawHub Agent Skills author: esign.ai v1.0.5 MIT-0 11 files body ≈ 1 015 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: scripts/.venv/bin/python3, scripts/.venv/Scripts/python.exe

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/.venv/bin/python3, scripts/.venv/Scripts/python.exe
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: 11. 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/.venv/bin/python3
  • warning missing-ref reference to a missing file: scripts/.venv/Scripts/python.exe

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/.venv/bin/python3, scripts/.venv/Scripts/python.exe
  • 0Tools and files. 2 referenced file(s) missing: scripts/.venv/bin/python3, scripts/.venv/Scripts/python.exe
  • 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. 39 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1015 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -33 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 298: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This skill performs legitimate e-signature work, but it asks for powerful credentials, handles sensitive contracts, and includes under-scoped local persistence and permission changes users should review before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026