Borrowing it
Nothing to install: this file belongs to cram2/cognitive_robot_abstract_machine. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cram2/cognitive_robot_abstract_machine/main/.claude/skills/stacked-pr-maintenance/SKILL.mdgit clone --depth 1 https://github.com/cram2/cognitive_robot_abstract_machineWrote 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/cram2/cognitive_robot_abstract_machine/stacked-pr-maintenance)<a href="https://agentmods.dev/skills/cram2/cognitive_robot_abstract_machine/stacked-pr-maintenance"><img src="https://agentmods.dev/badge/skills/cram2/cognitive_robot_abstract_machine/stacked-pr-maintenance/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/cram2/cognitive_robot_abstract_machine/stacked-pr-maintenance"><img src="https://agentmods.dev/badge/skills/cram2/cognitive_robot_abstract_machine/stacked-pr-maintenance.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 | $0.00120 | $0.04017 |
| Opus 5 | $0.00060 | $0.02008 |
| Sonnet 5 | $0.00024 | $0.00803 |
| Haiku 4.5 | $0.00012 | $0.00402 |
Grade A, and why
stacked-pr-maintenance scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
with curl and `GH_TOKEN` is refused with The source is not reproduced here
Licensed LGPL-3.0
The repository is licensed LGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 276 lines · 120 tokens per session scan A 344e60641706
stacked-pr-maintenance is a skill published in the GitHub repository cram2/cognitive_robot_abstract_machine (21 stars, last pushed yesterday), licensed LGPL-3.0. It adds 120 tokens to every session and 4,017 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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