content-gap-analysis

content-gap-analysis is a skill for Codex from nthnclrk/enablement-skills. It costs 66 tokens per session (919 once invoked), scanned A, original, MIT.

A content audit guide for finding missing, outdated, hard-to-find, or unused sales-enablement materials.

In plain words
What is it for?
Use it to review content coverage by role, sales stage, or job and build a prioritized backlog with possible owners and actions.
Why use it?
It helps teams decide what content to create, update, combine, or retire instead of relying on guesses about what is useful.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to review content coverage by role, sales stage, or job and build a prioritized backlog with possible owners and actions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nthnclrk/enablement-skills/content-gap-analysis
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 nthnclrk/enablement-skills --skill content-gap-analysis
Clone the repo
git clone --depth 1 https://github.com/nthnclrk/enablement-skills

Made for: 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 content-gap-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/nthnclrk/enablement-skills/content-gap-analysis/github.svg)](https://agentmods.dev/skills/nthnclrk/enablement-skills/content-gap-analysis)
Your own site
<a href="https://agentmods.dev/skills/nthnclrk/enablement-skills/content-gap-analysis"><img src="https://agentmods.dev/badge/skills/nthnclrk/enablement-skills/content-gap-analysis/github.svg" alt="Measured on agentmods" height="20"></a>

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.

agentmods 80×15 button for content-gap-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/nthnclrk/enablement-skills/content-gap-analysis"><img src="https://agentmods.dev/badge/skills/nthnclrk/enablement-skills/content-gap-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 919 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.
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 $0.00066 $0.00919
Opus 5.5 $0.00026 $0.00368
Sonnet 5.5 $0.00013 $0.00184
Haiku 4.5 $0.00007 $0.00092

Measured 24d ago against content hash 5dc549a31a53, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

content-gap-analysis 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 24d 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/content-gap-analysis/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content gap analysis

Prioritize content work by the field problem it will solve. Check whether an asset exists, fits the task, can be found, and is used before recommending a new one.

Fails. "Zero views this quarter, so retire the security FAQ."

Passes. "The security FAQ exists, is current, and drew 19 failed searches against 6 views. Action: improve discoverability, not retire. The mid-market ROI template does not exist; the enterprise calculator is out of scope. Action: create."

A recurring operating model for owners, review, and publishing is content-governance-system. Raw field-note synthesis is field-feedback-synthesizer.

Inputs

Ask only for the inputs that change the backlog:

  1. Inventory source and the roles, stages, and jobs in scope
  2. Known field requests, failed searches, or usage with an eligible-audience denominator
  3. Evaluation horizon: this quarter, half, or annual planning
  4. Who can own create, update, consolidate, or retire work

If usage, ownership, or freshness is unknown, leave it unknown. Do not invent usage or ROI.

Supporting material

Read references/content-gap-prioritization.md for exists-vs-used tests, action types, and scoring rules. Read references/source-system-guide.md when the inventory comes from a content repository, wiki, or field-signal channel.

Procedure

  1. Build the inventory you can defend. Stable ID, owner, audience, status, last reviewed date, canonical location. Done when each in-scope asset has enough metadata to judge exists vs used.
  2. Map coverage. Role, stage, job-to-be-done. An enterprise-only asset does not cover a mid-market job.
  3. Classify the problem before you score it. Missing, stale, duplicated, hard to find, underused, or wrong format. Low usage is a clue, not a diagnosis.
  4. Separate exists from used. Test fit, access, discoverability, and use separately. A findable asset may still fail in a live conversation. Check a representative use case before recommending a rewrite; where demand is unverified, investigate before commissioning new content.
  5. Rate value with visible dimensions. Impact, frequency, strategic alignment. Evidence confidence and effort stay separate. Do not invent weights or divide by effort.
  6. Assign a decision tier. Mandatory, commit now, validate first, plan, or monitor. High potential with weak evidence is validate first, not build.
  7. Choose the action. Create, update, consolidate, retire, improve discoverability, or reinforce distribution. Retire only with a successor or an authorized owner, never from low usage alone.
  8. Sequence within the tier. Deadline, dependency, effort, owner capacity. Route asset production to one-pager-and-slide-outline, battlecard-builder, or talk-track-builder.

Read the full file on GitHub · 73 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 24d ago Changed 5dc549a31a53
  2. 2mo ago First seen · 73 lines · 66 tokens per session scan A 6f9416e8740d

Subscribe to this mod's changes

content-gap-analysis is a skill published in the GitHub repository nthnclrk/enablement-skills (16 stars, last pushed 25d ago), licensed MIT. It adds 66 tokens to every session and 919 once invoked, about $0.0003 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.

Related

content-gap-analysis compared with skills from other repositories

content-gap-analysis next to 6 skills from other repositories
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