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AA finding-saas-company-leads-twitter

Finds SaaS companies and software startup leads from Twitter/X using apidojo's Twitter scrapers on Apify. Triggers when the user asks to: find SaaS companies on Twitter for partnership or sales outreach, build a list of software startups by vertical, find B2B SaaS founders or decision-makers on X, identify early-stage software companies by their Twitter activity, discover SaaS products in a specific niche from Twitter, find software vendors posting about product launches or fundraising, or compile a SaaS company contact list from social media. Returns company handle, founder name (from bio), follower count, product description, and recent tweets. Ideal for SaaS integration partners, investor outreach, B2B sales teams, and startup press.

ClawHub Agent Skills author: API Dojo v1.0.0 MIT-0 2 files body ≈ 1 497 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Finds SaaS companies and software startup leads from Twitter/X using apidojo's Twitter scrapers on Apify.

As a process A 81/100 · Runs to the end — weak spots: progress reporting

IntegrationSales and CRMSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
96
Quality 40%
88
Run on models
none yet
Process rating
A
81/100
Runs to the end
Progress reporting w 2
0
Failures and branches w 10
50
Result and completion w 14
60
the three weakest of ten parameters · all ten

How to improve

    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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Exfiltration exfil-secret-in-url SKILL.md:106
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      curl -X POST   "https://api.apify.com/v2/acts/apidojo~tweet-scraper/runs?token=…"   -H "Content-Type: application/json"   -d '{
      placeholder
    • low Exfiltration net-credential-use SKILL.md:106
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl -X POST   "https://api.apify.com/v2/acts/apidojo~tweet-scraper/runs?token=…"   -H "Content-Type: application/json"   -d '{
      vendor-host
    • low Exfiltration exfil-secret-in-url SKILL.md:128
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      curl -X POST   "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs?token=…"   -H "Content-Type: application/json"   -d '{"usernames": ["handle1", "handle2"]}'
      placeholder
    • low Exfiltration net-credential-use SKILL.md:128
      Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
      curl -X POST   "https://api.apify.com/v2/acts/apidojo~twitter-user-scraper/runs?token=…"   -H "Content-Type: application/json"   -d '{"usernames": ["handle1", "handle2"]}'
      vendor-host

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 81/100

    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1497 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)
    • +2Single-language instructions
    • +3Description length 746: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 8 items
    • +3Output format is stated explicitly
    • +4Has examples (11 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This skill is a disclosed Apify/Twitter lead-finding workflow with no hidden install code, but it sends search terms and handles to Apify and can save outputs when requested.
    LLM: benign (high) · VirusTotal: · 3 Sept 2026