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BF nodecoda-workflow

Use when designing, writing, building, diagnosing, or revising NodeCoda Source through the authenticated NodeCoda MCP service.

ClawHub Agent Skills author: nodecoda v0.1.0 MIT-0 23 files body ≈ 3 274 tokens Open the sourceclawhub.ai analyzed 2 d ago

把用户的工作流需求写成可版本化的 NodeCoda Source,并通过 Workflow Build 取得经目标校验的 Dify Workflow artifact。 本 skill 通常已由用户预先装好。以下情况需要自行引导安装:

As a process F 38/100 · Will not run — References files that are not bundled: references/*.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
89
Quality 40%
80
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: references/*.md
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

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. 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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Exfiltration net-credential-use SKILL.md:340
    Credential used in a network call (verify the destination is the intended service)
    curl -sS -H "Authorization: Bearer $NODECODA_KEY" \
  • medium Exfiltration net-credential-use SKILL.md:344
    Credential used in a network call (verify the destination is the intended service)
    curl -sS -H "Authorization: Bearer $NODECODA_KEY" \
  • low Exfiltration net-credential-use SKILL.md:327
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    MCP stdio server 通过 `process.env.NODECODA_KEY` 取 key;若启动 agent 的 shell 已导出 key 但 MCP 仍报 `NO_KEY`,通常是 server 进程未继承环境。此时直接打公网网关(base `https://www.nodecoda.com/v1`),凭据只从环境读取、绝不打印/落盘:
    vendor-hostquoted

Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/*.md
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/*.md
  • 0Tools and files. 1 referenced file(s) missing: references/*.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 82 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3274 tokens
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (8 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

  • +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 126: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 82 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (13 of 13)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This skill is a disclosed NodeCoda/Dify workflow authoring integration with expected external build and workflow-generation behavior.
LLM: benign (high) · VirusTotal: · 15 Aug 2026