SKILLEMALL.ai

AF instagram-place-posts

Scrapes Instagram posts tagged at a specific location or place, returning media items with captions, like/comment counts, media URLs and user info. Use when user mentions Instagram location posts, posts from a place on Instagram, Instagram geotag scraping, posts tagged at location, Instagram place feed, get posts from a venue on Instagram, Instagram location data, posts near me Instagram, place-based Instagram content, tagged location posts.

ClawHub Agent Skills author: browser-act skill v1.0.0 MIT-0 4 files body ≈ 1 738 tokens Open the sourceclawhub.ai analyzed 32 h ago

Scrapes Instagram posts tagged at a specific location or place, returning media items with captions, like/comment counts, media URLs and user info.

As a process F 56/100 · Will not run — References files that are not bundled: scripts/*.py

ProcedureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
F
56/100
Will not run
References files that are not bundled: scripts/*.py
Tools and files w 18
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 0

✓ No critical or high findings

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/*.py

Process rating: all ten parameters 56/100

Will not run. References files that are not bundled: scripts/*.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/*.py
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 21 steps, 2 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1738 tokens
  • 100Progress reporting. Reports progress
  • low 10 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 445: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (2 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
This skill is a location-post scraper that mostly matches its stated purpose, but it uses a logged-in Instagram session, internal APIs, and anti-detection throughput guidance that users should review carefully.
LLM: suspicious (high) · VirusTotal: · 18 Jun 2026