geo-pipeline

geo-pipeline is a skill for Claude Code from ViryaZheng/recomby-geo. It costs 169 tokens per session (1,115 once invoked), scanned A, original, MIT.

An entry point for running the stages of a website content and search-visibility workflow. The stages cover intake, visibility review, content gaps, briefs, drafting, publishing preparation, and later review.

In plain words
What is it for?
Use it when running any stage of the workflow for a client folder, such as auditing visibility, creating a content brief, producing a draft, preparing distribution, or rechecking results.
Why use it?
It provides one route into the workflow and directs each request to the instructions for the selected stage. It also requires generated JSON files to be checked against their schemas.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; mentions Codex.

Part of the recomby-geo plugin — 9 skills, 7 commands shipped together

Good fit Use it when running any stage of the workflow for a client folder, such as auditing visibility, creating a content brief, producing a draft, preparing distribution, or rechecking results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/viryazheng/recomby-geo/geo-pipeline
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 ViryaZheng/recomby-geo --skill geo-pipeline
Clone the repo
git clone --depth 1 https://github.com/ViryaZheng/recomby-geo

Made for: Claude Code.

Or install recomby-geo, the plugin that ships this one along with the rest of its 9 skills, 7 commands.

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 geo-pipeline

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/viryazheng/recomby-geo/geo-pipeline"><img src="https://agentmods.dev/badge/skills/viryazheng/recomby-geo/geo-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 169 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,115 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 $0.00169 $0.01115
Opus 5 $0.00084 $0.00558
Sonnet 5 $0.00034 $0.00223
Haiku 4.5 $0.00017 $0.00112

Measured 12d ago against content hash dfea623da7fd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

geo-pipeline 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 12d 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.

plugins/recomby-geo/skills/geo-pipeline/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

geo-pipeline — Codex orchestrator for recomby-geo

On Claude Code each stage is a bare slash command (/01-intake/07-reaudit). Codex CLI has no bare custom commands, so this skill is the Codex entry point: it carries the orchestration rules and routes to the per-stage specification files, which are the single source of truth shared with the Claude Code side. Do not duplicate stage logic here — read the stage file and follow it.

Per-stage specs (read the one you're running): commands/01-intake.md, commands/02-audit.md, commands/03-gap.md, commands/04-content-brief.md, commands/05-production.md, commands/06-distribution.md, commands/07-reaudit.md (relative to this plugin's root). Full directory convention + dependency graph: orchestrator/run.md.

How to run a stage on Codex

  1. Identify the client folder clients/<slug>/ and the stage the user wants.

  2. Read the matching commands/0X-*.md and execute its Procedure verbatim.

  3. Validate every JSON artifact the stage writes against its schema before moving on (Codex has no built-in schema validation — run it explicitly):

    python3 - <<'PY'
    import json, jsonschema
    pairs = {
      "brand_context.json": "brand_context.schema.json",
      "visibility_baseline.json": "visibility_baseline.schema.json",
      "content_priorities.json": "content_priorities.schema.json",
    }  # see schemas/ for the full set incl. attribution_diff + review_feedback
    # jsonschema.Draft202012Validator(json.load(open("plugins/recomby-geo/schemas/<file>"))).validate(json.load(open("clients/<slug>/<artifact>")))
    print("validate each artifact against plugins/recomby-geo/schemas/*.schema.json")
    PY
    
  4. Stop at the human-in-loop points (see rules below).

Stage order (never run out of order)

inputs/ → 01-intake → brand_context.json
        → 02-audit  → visibility_baseline.json
        → 03-gap    → content_priorities.json
        → 04-content-brief → briefs/<id>.md (+ .html, REQUIRED-FILL slots)
            [EXPERT FILLS THE SLOTS — not the AI]
          04 Step 9 verifies fills → status: ready-for-production
        → 05-production → drafts/<id>.md (+ review .html)
        → 06-distribution → distribution/<id>.json + publish-bundle.md
            [PUBLISH + WAIT 7+ days]
        → 07-reaudit (monthly) → reaudit/round-N.json → feeds next 03-gap

Read the full file on GitHub · 87 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. 12d ago First seen · 87 lines · 169 tokens per session scan A dfea623da7fd

Subscribe to this mod's changes

geo-pipeline is a skill published in the GitHub repository ViryaZheng/recomby-geo (454 stars, last pushed 2mo ago), licensed MIT. It adds 169 tokens to every session and 1,115 once invoked, about $0.0008 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 2026-08-30.