SKILLEMALL.ai

BC openclaw-tool-executor

Use this skill whenever the user asks for information from, or wants to take an action in, a third-party tool or service. This includes — but is not limited to — searching the web, reading or writing documents, sending messages, querying databases, managing tasks, fetching data from APIs, or interacting with any connected SaaS product (e.g. "search Exa for...", "read my Notion page", "send a Slack message", "get my Google Sheet", "create a GitHub issue", "query Snowflake", "look up a HubSpot contact"). Trigger this skill any time the user's request involves an external service, integration, or data source — even if the provider is not explicitly named. Handles OAuth and non-OAuth (API Key, Bearer, Basic) connections, tool discovery, execution, and proxy fallback via Scalekit Connect. ## Provider Mapping Some services are accessed through a different provider name in Scalekit. Always use the mapped provider name below: | User asks about | Use provider | |---|---| | LinkedIn — profiles, jobs, companies, posts, people search, ads, groups | `HARVESTAPI` |

ClawHub Agent Skills author: Avinash Kamath v2.4.2 MIT-0 8 files body ≈ 2 813 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

IntegrationNotionGoogle SheetsSlackGitHubInfrastructureSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
99
Quality 40%
55
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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
  • low Exfiltration read-dotenv README.md:27
    Reads a .env file
    cp .env.example .env

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1071 chars, limit 1024
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 60/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (openclaw-tool-executor) differs from the folder (scalekit-agent-auth)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 100Steps. 36 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 6 branches, has a failure section
  • 100Execution cost. Instruction body is 2813 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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)
  • +3Description length 1070: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (17 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: suspicious
This skill is broadly useful for connected-service automation, but it exposes raw OAuth tokens and allows high-impact proxy/file operations with weak scoping.
LLM: suspicious (high) · VirusTotal: suspicious · 10 Sept 2026