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 skills/adityahimaone/hermes-agent-rtk-caveman/github-pr-workflownpx skills add adityahimaone/hermes-agent-rtk-caveman --skill github-pr-workflowgit clone --depth 1 https://github.com/adityahimaone/hermes-agent-rtk-cavemanWrote 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/adityahimaone/hermes-agent-rtk-caveman/github-pr-workflow)<a href="https://agentmods.dev/skills/adityahimaone/hermes-agent-rtk-caveman/github-pr-workflow"><img src="https://agentmods.dev/badge/skills/adityahimaone/hermes-agent-rtk-caveman/github-pr-workflow.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 5.1 | $0.00049 | $0.02916 |
| Opus 5 | $0.00024 | $0.01458 |
| Sonnet 5 | $0.00010 | $0.00583 |
| Haiku 4.5 | $0.00005 | $0.00292 |
Grade D, and why
github-pr-workflow scanned grade D with 3 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 6d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
| Add comment | `gh pr comment N --body "..."` | `curl -X POST .../issues/N/comments -d '{"body":"..."}'` | Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
elif grep -q "github.com" ~/.git-credentials 2>/dev/null; then Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
description: Full pull request lifecycle — create branches, commit changes, open PRs, monitor CI status, auto-fix failures, and merge. Works with gh CLI or falls back to git + GitHub REST API via curl. The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
4 files 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.
- 6d ago First seen · 367 lines · 49 tokens per session scan D 1b44a88b57c0
github-pr-workflow is a skill published in the GitHub repository adityahimaone/hermes-agent-rtk-caveman (79 stars, last pushed 4mo ago), with no licence file. It adds 49 tokens to every session and 2,916 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it D with 3 findings (sends data to an external url, reaches for credential files, 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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