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 tzachbon/smart-ralph --skill ralph-specum-feedbackgit clone --depth 1 https://github.com/tzachbon/smart-ralphWrote 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/tzachbon/smart-ralph/ralph-specum-feedback)<a href="https://agentmods.dev/skills/tzachbon/smart-ralph/ralph-specum-feedback"><img src="https://agentmods.dev/badge/skills/tzachbon/smart-ralph/ralph-specum-feedback/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/tzachbon/smart-ralph/ralph-specum-feedback"><img src="https://agentmods.dev/badge/skills/tzachbon/smart-ralph/ralph-specum-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00041 | $0.00204 |
| Opus 5 | $0.00020 | $0.00102 |
| Sonnet 5 | $0.00008 | $0.00041 |
| Haiku 4.5 | $0.00004 | $0.00020 |
Grade A, and why
ralph-specum-feedback 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 10d 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.
What it actually says
Ralph Specum Feedback
Use this to capture product feedback or bug reports for Ralph Specum.
Action
- Summarize the issue, request, or missing behavior.
- Gather the minimum reproducible context, affected files, commands, environment details, and whether the issue is on the Codex package or Claude plugin surface.
- If
ghis available and the user wants submission, create a GitHub issue. - If
ghis unavailable or the user only wants a draft, produce a ready-to-paste issue body and the repository issue URL.
Output
Keep the report concrete. Include expected behavior, actual behavior, reproduction steps, and any relevant state files or logs.
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.
- 10d ago First seen · 23 lines · 41 tokens per session scan A 40f49209f260
ralph-specum-feedback is a skill published in the GitHub repository tzachbon/smart-ralph (537 stars, last pushed 7d ago), licensed MIT. It adds 41 tokens to every session and 204 once invoked, about $0.0002 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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