citlyze-action-plan

citlyze-action-plan is a skill for Claude Code, Codex from Citlyze/citlyze-skills. It costs 66 tokens per session (603 once invoked), scanned A, original, MIT.

A read-only planner that turns Citlyze recommendations into a prioritized two-week action plan for improving a brand's visibility in AI-generated search.

In plain words
What is it for?
Choosing quick wins, grouping related page changes, and sequencing work for a marketing or content team. It requires the Citlyze MCP server.
Why use it?
It organizes a scattered recommendation backlog by likely impact, effort, confidence, and affected page.

Skill for Claude CodeCodex

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

Good fit Choosing quick wins, grouping related page changes, and sequencing work for a marketing or content team. It requires the Citlyze MCP server.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/citlyze/citlyze-skills/citlyze-action-plan
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 Citlyze/citlyze-skills --skill citlyze-action-plan
Clone the repo
git clone --depth 1 https://github.com/Citlyze/citlyze-skills

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 citlyze-action-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/citlyze/citlyze-skills/citlyze-action-plan/github.svg)](https://agentmods.dev/skills/citlyze/citlyze-skills/citlyze-action-plan)
Your own site
<a href="https://agentmods.dev/skills/citlyze/citlyze-skills/citlyze-action-plan"><img src="https://agentmods.dev/badge/skills/citlyze/citlyze-skills/citlyze-action-plan/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 citlyze-action-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/citlyze/citlyze-skills/citlyze-action-plan"><img src="https://agentmods.dev/badge/skills/citlyze/citlyze-skills/citlyze-action-plan.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 603 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 $0.00603
Opus 5 $0.00033 $0.00302
Sonnet 5 $0.00013 $0.00121
Haiku 4.5 $0.00007 $0.00060

Measured 11d ago against content hash bc9b9ecbe0ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

citlyze-action-plan 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 11d 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/citlyze-action-plan/SKILL.md · 36 lines

How it starts

The opening of the file, as written. The whole thing — 36 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Citlyze action plan

Convert the recommendation backlog into a two-week plan a marketing or content team can execute.

Prerequisites

The Citlyze MCP server must be connected (setup guide). Tools are read-only; marking recommendations planned or done happens in the app.

Workflow

  1. Pull the backlog. Call list_recommendations. Rows arrive highest priority_score first, each with title, summary, category, status, impact, confidence, effort, and target_url.
  2. Filter. Drop rows whose status shows they are already done or dismissed; keep new and in-progress work. Treat category as a free-form label: group by whatever values appear.
  3. Build an impact/effort matrix. Place each recommendation in one of four quadrants (high impact + low effort first). Where confidence is low, say what evidence would raise it before committing serious effort.
  4. Cluster by page. Group recommendations sharing a target_url; one page edit often clears several items at once. Clusters usually beat one-off fixes.
  5. Sequence into a plan:
    • Week 1 - quick wins (high impact, low effort) plus anything unblocking other items.
    • Week 2 - the highest-impact medium-effort cluster.
    • Backlog - everything else in priority order, with a one-line reason each.
  6. For each planned item state: what to change, on which URL, who plausibly owns it (content, dev, PR), and how success will show up in Citlyze afterwards (better mention rate, new citation, improved visibility on a named engine).

Interpretation rules

  • priority_score already blends Citlyze's view of value; use it as the default sort but override with the user's business context when they give any.
  • Never promise a score outcome; frame expected results as the metric to watch in the next measurement window.
  • If two recommendations conflict on one page, surface the conflict instead of silently picking one.

Read the full file on GitHub · 36 lines

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. 11d ago First seen · 36 lines · 66 tokens per session scan A bc9b9ecbe0ad

Subscribe to this mod's changes

citlyze-action-plan is a skill published in the GitHub repository Citlyze/citlyze-skills (0 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 603 once invoked, about $0.0003 per session on Opus 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 2026-08-31.

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