SKILLEMALL.ai

BF instagram-seo

The Instagram SEO / keyword-search skill -- IG-specific search depth, distinct from the cross-cutting social-seo. Use when someone wants an Instagram post/Reel to rank in search, needs IG keyword research, or wants a searchable caption/profile. Instagram shifted from hashtag-based discovery to keyword-based search (hashtags deprioritized to 3-5 topic labels). Search runs semantic analysis -> metadata matching -> visual recognition (checks alt text + visual MATCH the caption). Uses the MATCH framework. Reads brand-profile + the post's topic first. The agent researches the keyword cluster (never fabricates volume), writes the search-first caption (primary keyword first, no stuffing), specs on-screen text + spoken keyword, and advises profile fields/alt text. WoopSocial publishes the caption; profile fields, alt text, and IG Search/Insights stay native. No keyword stuffing; caption must match the visual. Distinct from social-seo, pinterest-seo, and hashtag-strategy.

ClawHub Agent Skills author: Social Media Skills v1.0.0 MIT-0 7 files body ≈ 1 748 tokens Open the sourceclawhub.ai analyzed 2 d ago

The Instagram SEO / keyword-search skill -- IG-specific search depth, distinct from the cross-cutting social-seo.

As a process F 38/100 · Will not run — References files that are not bundled: references/the-match-framework.md, references/instagram-seo-2026-reality.md, references/keyword-research-and-surfaces.md

AnalyzerMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: references/the-match-framework.md, references/instagram-seo-2026-reality.md, references/keyword-research-and-surfaces.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/the-match-framework.md
  • warning missing-ref reference to a missing file: references/instagram-seo-2026-reality.md
  • warning missing-ref reference to a missing file: references/keyword-research-and-surfaces.md
  • warning missing-ref reference to a missing file: references/scope-and-connections.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/the-match-framework.md, references/instagram-seo-2026-reality.md, references/keyword-research-and-surfaces.md
  • 0Tools and files. 4 referenced file(s) missing: references/the-match-framework.md, references/instagram-seo-2026-reality.md, references/keyword-research-and-surfaces.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 12 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 100Steps. 11 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1748 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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 977: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 11 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: clean
This skill is a disclosed Instagram search-optimization guide that writes/advises captions and profile text without hidden code, persistence, or credential access.
LLM: benign (high) · VirusTotal: · 24 Jul 2026