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AF keyword-research

Use when the user asks to "find keywords", "keyword research", "what should I write about", "identify ranking opportunities", "topic ideas", "what are people searching for", "which keywords should I target", or "give me keyword ideas". Discovers high-value keywords with search intent analysis, difficulty assessment, and content opportunity mapping. Essential for starting any SEO or GEO content strategy. For analyzing competitor keywords specifically, see competitor-analysis. For content topic gaps, see content-gap-analysis.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 5 173 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Use when the user asks to "find keywords", "keyword research", "what should I write about", "identify ranking opportunities", "topic ideas", "what are people…

As a process F 51/100 · Will not run — References files that are not bundled: ../competitor-analysis/, ../serp-analysis/, ../content-gap-analysis/

ProcedureOperations and projectsData and analyticsWriting and documentstype 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
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: ../competitor-analysis/, ../serp-analysis/, ../content-gap-analysis/
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5173 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../competitor-analysis/
  • warning missing-ref reference to a missing file: ../serp-analysis/
  • warning missing-ref reference to a missing file: ../content-gap-analysis/
  • warning missing-ref reference to a missing file: ../../build/seo-content-writer/
  • warning missing-ref reference to a missing file: ../../build/geo-content-optimizer/
  • warning missing-ref reference to a missing file: ../../build/meta-tags-optimizer/
  • warning missing-ref reference to a missing file: ../../build/schema-markup-generator/
  • warning missing-ref reference to a missing file: ../../optimize/on-page-seo-auditor/
  • warning missing-ref reference to a missing file: ../../optimize/technical-seo-checker/
  • warning missing-ref reference to a missing file: ../../optimize/internal-linking-optimizer/
  • warning missing-ref reference to a missing file: ../../optimize/content-refresher/
  • warning missing-ref reference to a missing file: ../../monitor/rank-tracker/
  • warning missing-ref reference to a missing file: ../../monitor/backlink-analyzer/
  • warning missing-ref reference to a missing file: ../../monitor/performance-reporter/
  • warning missing-ref reference to a missing file: ../../monitor/alert-manager/
  • warning missing-ref reference to a missing file: ../../cross-cutting/content-quality-auditor/
  • warning missing-ref reference to a missing file: ../../cross-cutting/domain-authority-auditor/
  • warning missing-ref reference to a missing file: ../../cross-cutting/entity-optimizer/
  • warning missing-ref reference to a missing file: ../../cross-cutting/memory-management/
  • warning missing-ref reference to a missing file: ../../CONNECTORS.md

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: ../competitor-analysis/, ../serp-analysis/, ../content-gap-analysis/
  • 0Tools and files. 20 referenced file(s) missing: ../competitor-analysis/, ../serp-analysis/, ../content-gap-analysis/
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 5 mutating operations with no state check
  • 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
  • 70Execution cost. Instruction body is 5173 tokens
  • 85Steps. 67 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • low 15 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +2Single-language instructions
  • +5Description quotes 8 example trigger phrases
  • +3Description length 529: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 67 items
  • +3Output format is stated explicitly
  • +4Has examples (17 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.