SKILLEMALL.ai

BF slack-api-toolkit

Slack API托管OAuth,发消息/管频道/搜会话(社区下载版)。Slack API integration with managed OAuth。Send messages, manage channels,。触发关键词: oauth, api, managed, integration, slack。

ClawHub Agent Skills author: 天轰穿 v1.0.1 MIT-0 2 files body ≈ 2 113 tokens Open the sourceclawhub.ai analyzed 2 d ago

Slack API托管OAuth,发消息/管频道/搜会话(社区下载版)。Slack API integration with managed OAuth。Send messages, manage channels,。触发关键词: oauth, api, managed, integration, slack。

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

IntegrationSlackSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
95
Quality 40%
64
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: references/detail.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. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Exfiltration net-credential-use SKILL.md:233
    Credential used in a network call (verify the destination is the intended service)
    * IMPORTANT: When piping curl output to `jq` or other commands, environment variables like `$MATON_API_KEY` may not expand correctly in some shell environments. You may get "Invalid API key" errors wh

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: references/detail.md
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/detail.md
  • 0Tools and files. 1 referenced file(s) missing: references/detail.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. 6 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 83 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2113 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 23 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 156: enough signal without eating the budget
  • +4Structure: 51 headings
  • +3Step-by-step instructions: 83 items
  • +4Has examples (17 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This skill is a Slack integration through Maton; it has real Slack read/write capability, but the behavior is mostly disclosed and purpose-aligned.
LLM: benign (medium) · VirusTotal: · 14 Aug 2026