batch-process

A content-planning command that researches a topic and produces a brief for writing. It covers keywords, competitors, what readers are looking for, a suggested outline, and search visibility planning.

In plain words
What is it for?
Use it before writing an article, blog post, whitepaper, FAQ, or video script when you need audience, competitor, and search-planning guidance.
Why use it?
It replaces starting an article plan from guesswork with a structured brief based on research.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/indranilbanerjee/contentforge/batch-process
Any agent
npx skills add indranilbanerjee/contentforge --skill batch-process
Clone the repo
git clone --depth 1 https://github.com/indranilbanerjee/contentforge

Made for: Claude Code, Codex.

Per session 155 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,465 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00155 $0.02465
Opus 5 $0.00077 $0.01233
Sonnet 5 $0.00031 $0.00493
Haiku 4.5 $0.00015 $0.00247

Measured 2d ago against content hash 42c0bb5b76bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

batch-process 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 2d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/batch-process/SKILL.md · 232 lines

How it starts

The opening of the file, as written. The whole thing — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Batch Content Processing

Process multiple content requirements through the ContentForge pipeline as a sequential, checkpointed queue with priority-based scheduling and event-driven progress tracking. Each piece runs the full 10-phase pipeline (plus Step 0.5) with all 10 quality gates — batch mode changes the intake, not the standards.

When to Use

Use /contentforge:batch-process when:

  • You have 2+ content pieces to produce
  • You want hands-off production of a whole queue (each piece needs a pre-set title — batch runs are non-interactive)
  • You need priority scheduling (urgent pieces first)
  • You want per-piece progress visibility and resumability
  • You're running agency-scale production (10-50+ pieces)

What This Command Does

  1. Intake Multiple Requirements — Read from the brand's tracking backend: local JSON (default), Google Sheets, Airtable, or a CSV file
  2. Build Execution Queue — Validate rows and sort by priority
  3. Sequential Orchestration — Run one full ContentForge pipeline per piece, in queue order; every phase of every piece is checkpointed, so an interrupted batch resumes where it stopped
  4. Progress Tracking — Status table redrawn after each piece/phase event (piece started, gate passed, piece finished)
  5. Error Handling — Automatic retry for transient failures (resuming from checkpoints), human escalation for persistent issues
  6. Completion Report — Summary of all pieces: APPROVED, review_required, failed, with quality scores and output locations

Required Inputs

Tracking backend (per brand, via tracking.backend in the brand profile — local is the default):

  • Local JSON — requirements managed by scripts/local-tracker.py
  • Google Sheets — sheet with columns: Requirement ID, Content Type, Title, Target Audience, Brand, Word Count Target, Priority (1-5), Status
  • Airtable — base with the same fields

CSV (alternative intake):

requirement_id,content_type,title,target_audience,brand,word_count,priority,status
REQ-001,article,AI in Healthcare,Healthcare CIOs,acmemed,2000,1,pending
REQ-002,blog,10 Tips for Remote Teams,HR Managers,techcorp,1500,3,pending

Read the full file on GitHub · 232 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. 2d ago First seen · 232 lines · 155 tokens per session scan A 42c0bb5b76bb

Subscribe to this mod's changes

batch-process is a skill published in the GitHub repository indranilbanerjee/contentforge (26 stars, last pushed 15d ago), licensed MIT. It adds 155 tokens to every session and 2,465 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.

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