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analyze-content-gaps

analyze-content-gaps is a skill for Claude Code, Codex from dandye/ai-runbooks. It costs 27 tokens per session (507 once invoked), scanned A, original, Apache-2.0.

An analysis procedure for finding missing, shallow, duplicated, or consolidatable topics in a documentation set. It can compare the documentation with user needs, standards, or competitors when those inputs are available.

In plain words
What is it for?
Use it to review a documentation folder, map coverage against search queries or support tickets, identify content gaps, and find consolidation opportunities.
Why use it?
It shows where documentation does not answer important questions, repeats itself, or could be organized more clearly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 132repo 2mo ago A scan SkillSpector: pass 27 tokens original Apache-2.0

Good fit Use it to review a documentation folder, map coverage against search queries or support tickets, identify content gaps, and find consolidation opportunities.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dandye/ai-runbooks/analyze-content-gaps
View source ↗ dandye/ai-runbooks
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add dandye/ai-runbooks --skill analyze-content-gaps
Clone the repo
git clone --depth 1 https://github.com/dandye/ai-runbooks

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analyze-content-gaps

README.md
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Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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Your own site · 80×15
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Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 507 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.00507
Opus 5.5 $0.00011 $0.00203
Sonnet 5.5 $0.00005 $0.00101
Haiku 4.5 $0.00003 $0.00051

Measured 2mo ago against content hash f39892f50522, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

analyze-content-gaps scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/analyze-content-gaps/SKILL.md · 62 lines

What it actually says

Analyze Content Gaps Skill

Identify missing, redundant, or underperforming content within a documentation set. This skill compares existing content against user needs and competitive benchmarks to find opportunities for improvement.

Inputs

  • PATH - The content documentation to analyze (e.g., "/documentation")
  • USER_NEEDS - (Optional) Boolean, whether to map against user search queries or support tickets (default: true)
  • COMPETITIVE_ANALYSIS - (Optional) Boolean, whether to compare against industry standards or competitors (default: false)

Workflow

Step 1: Baseline Assessment

Map the current state of content at PATH.

  • What topics are covered?
  • What is the depth of coverage?

Step 2: Needs Analysis

Determine what should be covered.

  • User Needs: Analyze search logs, support tickets, or user stories (if USER_NEEDS is true).
  • Standards: Compare against standard frameworks or requirements.
  • Competitors: Compare against competitor documentation (if COMPETITIVE_ANALYSIS is true).

Step 3: Gap Identification

Compare Baseline vs. Needs.

  • Missing: Topics required but not present.
  • Thin: Topics present but lacking detail.
  • Redundant: Multiple pages covering the same topic unnecessarily.
  • Outdated: Content that no longer matches current needs.

Step 4: Strategic Recommendations

Prioritize gaps based on impact and effort.

Required Outputs

A GAP_ANALYSIS_REPORT in markdown format containing:

  • Missing Topics: List of high-priority new content to create.
  • Improvement Areas: List of existing content needing expansion.
  • Consolidation Targets: List of redundant content to merge.
  • Strategic Roadmap: Recommended order of execution.

Quick Reference

  • Purpose: Align content with user needs and business goals.
  • Outcome: Actionable content strategy roadmap.
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 62 lines · 27 tokens per session scan A f39892f50522

Subscribe to this mod's changes

analyze-content-gaps is a skill published in the GitHub repository dandye/ai-runbooks (132 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 507 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

ResearchWriting and docs
Related

analyze-content-gaps compared with skills from other repositories

analyze-content-gaps next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
analyze-content-gapsdandye/ai-runbooksSkill1322mo agoApache-2.0A27Claude Code, Codex
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79kyesterdayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill100kyesterdayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
systematic-debuggingobra/superpowersSkill315k5d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code