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AB finding-food-bloggers-and-creators

Finds food content creators across Instagram TikTok and YouTube using apidojo's social media scrapers on Apify. Triggers when the user asks to: find food bloggers for brand partnerships, discover recipe creators in a cuisine niche, find cooking influencers for a food brand campaign, identify restaurant reviewers or food critics on social media, find home cook creators for kitchen tool promotions, build a food creator outreach list for a food or beverage brand, or discover the most engaged food content creators by platform and niche. Returns creator handle, platform, follower count, avg engagement, content theme, and post samples. Ideal for food and beverage brands, kitchen tool companies, restaurant chains, and food PR agencies.

ClawHub Agent Skills author: API Dojo v1.0.0 MIT-0 2 files body ≈ 1 382 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Finds food content creators across Instagram TikTok and YouTube using apidojo's social media scrapers on Apify.

As a process B 78/100 · Nearly there — weak spots: running it twice, progress reporting

AnalyzerYouTubeMarketingtype 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
92/100
safety, quality, tests
Safety 60%
94
Quality 40%
88
Run on models
none yet
Process rating
B
78/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Failures and branches w 10
50
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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • low Exfiltration exfil-secret-in-url skill-card.md:37
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      - [Apify Instagram actor API endpoint](https://api.apify.com/v2/acts/apidojo~instagram-scraper/runs?token=…)
      placeholder
    • low Exfiltration exfil-secret-in-url skill-card.md:38
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      - [Apify TikTok actor API endpoint](https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=…)
      placeholder
    • low Exfiltration exfil-secret-in-url SKILL.md:87
      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~instagram-scraper/runs?token=…"   -H "Content-Type: application/json"   -d '{"keywords": ["#italianrecipes", "#italianfood"], "maxItems":
      placeholder
    • low Exfiltration net-credential-use SKILL.md:87
      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~instagram-scraper/runs?token=…"   -H "Content-Type: application/json"   -d '{"keywords": ["#italianrecipes", "#italianfood"], "maxItems":
      vendor-host
    • low Exfiltration exfil-secret-in-url SKILL.md:90
      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~tiktok-scraper/runs?token=…"   -H "Content-Type: application/json"   -d '{"keywords": ["#italianrecipes", "#foodtok"], "maxItems": 200}'
      placeholder
    • low Exfiltration net-credential-use SKILL.md:90
      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~tiktok-scraper/runs?token=…"   -H "Content-Type: application/json"   -d '{"keywords": ["#italianrecipes", "#foodtok"], "maxItems": 200}'
      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 78/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 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. 6 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1382 tokens

    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 738: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 6 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-based social-media research workflow with expected third-party API use and no hidden persistence or destructive behavior.
    LLM: benign (high) · VirusTotal: · 3 Sept 2026