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 agentmods add agents/ammawla/encode-toolkit/cutandrun-pipelinegit clone --depth 1 https://github.com/ammawla/encode-toolkitWrote 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/agents/ammawla/encode-toolkit/cutandrun-pipeline)<a href="https://agentmods.dev/agents/ammawla/encode-toolkit/cutandrun-pipeline"><img src="https://agentmods.dev/badge/agents/ammawla/encode-toolkit/cutandrun-pipeline.svg" alt="Measured on agentmods" 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 | $0.00029 | $0.00318 |
| Opus 5 | $0.00015 | $0.00159 |
| Sonnet 5 | $0.00006 | $0.00064 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
cutandrun-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 4d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 4d ago First seen · 29 lines · 29 tokens per session scan A 47bba613d9b8
cutandrun-pipeline is an agent published in the GitHub repository ammawla/encode-toolkit (24 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 29 tokens to every session and 318 once invoked, about $0.0001 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.
Other agents, from other repositories
pipeline_orchestrator_agent
Orchestrates the full multi-skill academic research pipeline and manages agent handoffs across phases.
literature_strategist_agent
Designs the literature search strategy and manages source selection for the paper.
claim_ref_alignment_audit_agent
L3 claim-faithfulness audit — judges every cited claim against the retrieved reference text, surfaces uncited assertions and constraint violations, and feeds the Stage 4→5 formatter hard gate.
peer_reviewer_agent
Simulates peer review to identify weaknesses and suggest improvements before submission.
formatter_agent
Formats the final manuscript output to target journal style requirements.
eic-agent
Serves as the Editor-in-Chief of a top-tier journal, taking a bird's-eye view of a paper's fit, reader interest, and contribution to the field as a whole rather than diving into methodological technical details.