SKILLEMALL.ai

BF sdd-global-init

初始化 SDD 工作区,选择工作目录,扫描代码库生成项目概述、架构全景、技术约束、已有功能清单等全局文档。

ClawHub Agent Skills author: mahingbun-dev v1.0.0 MIT-0 2 files body ≈ 1 956 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 33/100 · Will not run — References files that are not bundled: images/NN-type.png, images/..., images/01-domain-topology.png

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
100
Quality 40%
53
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: images/NN-type.png, images/..., images/01-domain-topology.png
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: 2. 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: images/NN-type.png
  • warning missing-ref reference to a missing file: images/...
  • warning missing-ref reference to a missing file: images/01-domain-topology.png
  • warning missing-ref reference to a missing file: overview.md
  • warning missing-ref reference to a missing file: architecture.md
  • warning missing-ref reference to a missing file: features.md
  • warning missing-ref reference to a missing file: constraints.md
  • warning missing-ref reference to a missing file: images/02-project-overview.png
  • warning missing-ref reference to a missing file: images/03-system-architecture.png
  • warning missing-ref reference to a missing file: images/04-data-flow.png
  • warning missing-ref reference to a missing file: images/05-feature-modules.png
  • warning missing-ref reference to a missing file: images/06-tech-stack.png

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: images/NN-type.png, images/..., images/01-domain-topology.png
  • 0Tools and files. 12 referenced file(s) missing: images/NN-type.png, images/..., images/01-domain-topology.png
  • 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. 66 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1956 tokens
  • low 14 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)
  • +3Description length 53: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 66 items
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.

External checks

ClawHub: clean
This skill does what it says: it initializes an SDD workspace by scanning a user-selected project, writing documentation, and optionally generating diagram images, with no hidden installer or destructive behavior found.
LLM: benign (high) · VirusTotal: · 29 May 2026