SKILLEMALL.ai

BD slack-helper

Slack助手 - 发送消息/搜索历史/管理频道/集成通知,基于Slack API的Python实现,支持Webhook和Socket Mode

ClawHub Agent Skills author: 534422530 v1.0.0 MIT-0 2 files body ≈ 1 224 tokens Open the sourceclawhub.ai analyzed 30 h ago

Slack助手 - 发送消息/搜索历史/管理频道/集成通知,基于Slack API的Python实现,支持Webhook和Socket Mode

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSlackSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
98
Quality 40%
68
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration exfil-webhook-url SKILL.md:134
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    send_via_webhook("https://hooks.slack.com/services/T00/B00/xxxxx",
    placeholder
  • low Exfiltration exfil-webhook-url SKILL.md:165
    Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)
    webhook_url: "https://hooks.slack.com/services/..."
    placeholder

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")
  • note frontmatter-key unknown frontmatter key "source"

Process rating: all ten parameters 49/100

  • 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
  • 40Consistency. Frontmatter name (slack-helper) differs from the folder (laosi-slack)
  • 100Tools and files. No external tools needed
  • 100Steps. 9 steps
  • 100Execution cost. Instruction body is 1224 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)
  • +3Description length 72: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: suspicious
The skill is a coherent Slack helper, but it asks users to enable broad Slack actions without clear permission scoping, privacy warnings, or confirmation guidance for sensitive reads and external writes.
LLM: suspicious (high) · VirusTotal: · 28 May 2026