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 noontide-co/mainbranch --skill tool-stripegit clone --depth 1 https://github.com/noontide-co/mainbranchWrote 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/noontide-co/mainbranch/tool-stripe)<a href="https://agentmods.dev/skills/noontide-co/mainbranch/tool-stripe"><img src="https://agentmods.dev/badge/skills/noontide-co/mainbranch/tool-stripe/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/noontide-co/mainbranch/tool-stripe"><img src="https://agentmods.dev/badge/skills/noontide-co/mainbranch/tool-stripe.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 | $0.00039 | $0.00079 |
| Opus 5.5 | $0.00016 | $0.00032 |
| Sonnet 5.5 | $0.00008 | $0.00016 |
| Haiku 4.5 | $0.00004 | $0.00008 |
Grade A, and why
tool-stripe 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 2mo 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
tool-stripe
Historical stub. See README.md for the planned shape and current public-engine boundary.
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.
- 2mo ago First seen · 13 lines · 39 tokens per session scan A 01d0223d7856
tool-stripe is a skill published in the GitHub repository noontide-co/mainbranch (44 stars, last pushed 4d ago), licensed MIT. It adds 39 tokens to every session and 79 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
changelog-writer
Use when a release is being prepared and a human-readable changelog must be generated from merged pull requests.
open-source-readiness
Use when auditing a public repository for open-source readiness before publishing it.
weak-skill
This skill does some helpful things with files and stuff. Maybe it cleans up the repo, or somehow organizes things, etc. Probably useful as needed.
repo-audit
Use when auditing a public repository for open-source readiness before publishing it.
dd-code-generation
Use pup CLI for immediate Datadog operations or generate code for integration into applications.
processing-markdown
Processes Markdown files using mq, a jq-like query language for Markdown. Use when the user mentions Markdown processing, content extraction, document transformation, or mq queries.