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.
npx skills add indranilbanerjee/neels-plugins --skill batch-processgit clone --depth 1 https://github.com/indranilbanerjee/neels-pluginsWrote 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.
[](https://agentmods.dev/skills/indranilbanerjee/neels-plugins/batch-process)<a href="https://agentmods.dev/skills/indranilbanerjee/neels-plugins/batch-process"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/neels-plugins/batch-process/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.
<a href="https://agentmods.dev/skills/indranilbanerjee/neels-plugins/batch-process"><img src="https://agentmods.dev/badge/skills/indranilbanerjee/neels-plugins/batch-process.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00026 | $0.02335 |
| Opus 5.5 | $0.00010 | $0.00934 |
| Sonnet 5.5 | $0.00005 | $0.00467 |
| Haiku 4.5 | $0.00003 | $0.00233 |
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.
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
- Intake Multiple Requirements — Read from the brand's tracking backend: local JSON (default), Google Sheets, Airtable, or a CSV file
- Build Execution Queue — Validate rows and sort by priority
- 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
- Progress Tracking — Status table redrawn after each piece/phase event (piece started, gate passed, piece finished)
- Error Handling — Automatic retry for transient failures (resuming from checkpoints), human escalation for persistent issues
- 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
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.
- 2d ago First seen · 232 lines · 26 tokens per session scan A 487f9a07c475
batch-process is a skill published in the GitHub repository indranilbanerjee/neels-plugins (6 stars, last pushed 2d ago), licensed MIT. It adds 26 tokens to every session and 2,335 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 2026-10-12.
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