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BF maxhub-instagram

Instagram 全场景数据查询助手。支持V1/V2/V3三个版本API，覆盖用户信息、帖子、Reels、Stories、评论、搜索、话题、地点等全功能。

ClawHub Hermes author: Jan丶粑粑 v3.6.1 MIT-0 9 files body ≈ 2 729 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Instagram 全场景数据查询助手。支持V1/V2/V3三个版本API，覆盖用户信息、帖子、Reels、Stories、评论、搜索、话题、地点等全功能。

As a process F 38/100 · Will not run — References files that are not bundled: url, references/api-tools.md

IntegrationMarketingtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: url, references/api-tools.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Consistency w 8
0
the three weakest of ten parameters · all ten

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. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  3. 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: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 78 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • warning missing-ref reference to a missing file: url
  • warning missing-ref reference to a missing file: references/api-tools.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: url, references/api-tools.md
  • 0Tools and files. 2 referenced file(s) missing: url, references/api-tools.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Consistency. Frontmatter name (maxhub-instagram) differs from the folder (instagram-aggregate-scraper)
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 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
  • 100Steps. 45 steps
  • 100Execution cost. Instruction body is 2729 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)
  • +3Description length 78: 120–800 characters recommended
  • -229 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 45 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: suspicious
The skill is mostly a disclosed Instagram data-query wrapper, but it contains non-Instagram fallback instructions and under-disclosed privacy risks for broad social-media data collection.
LLM: suspicious (high) · VirusTotal: · 2 Jun 2026