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 systempromptio/systemprompt-marketplace --skill test-deploygit clone --depth 1 https://github.com/systempromptio/systemprompt-marketplaceWrote 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/systempromptio/systemprompt-marketplace/test-deploy)<a href="https://agentmods.dev/skills/systempromptio/systemprompt-marketplace/test-deploy"><img src="https://agentmods.dev/badge/skills/systempromptio/systemprompt-marketplace/test-deploy/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/systempromptio/systemprompt-marketplace/test-deploy"><img src="https://agentmods.dev/badge/skills/systempromptio/systemprompt-marketplace/test-deploy.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 | $0.00083 | $0.02515 |
| Opus 5 | $0.00042 | $0.01257 |
| Sonnet 5 | $0.00017 | $0.00503 |
| Haiku 4.5 | $0.00008 | $0.00251 |
Grade C, and why
test-deploy scanned grade C with 2 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 9d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -sSL https://get.systemprompt.io | sh -s -- --version v<VERSION> --verify Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sSL https://get.systemprompt.io | sh -s -- --version v<VERSION> --verify 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 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.
- 9d ago First seen · 244 lines · 83 tokens per session scan C 7e46aa58177f
test-deploy is a skill published in the GitHub repository systempromptio/systemprompt-marketplace (2 stars, last pushed 12d ago), with no licence file. It adds 83 tokens to every session and 2,515 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
principles
Metric literacy for what this plugin reports: what cyclomatic complexity, cognitive complexity, Halstead difficulty, lines per file, duplication, coverage, CRAP, and type debt mean, and what none of them can tell you. Four reference files carry the definitions and what each collector computes, each bundled reference…
design
Design an evaluation suite for an LLM-based application or a Claude Code skill: interview for measurable success criteria, pick a grading method per criterion, and scaffold a criteria doc plus eval cases into the consumer repo. Use when: 'design evals', 'create an eval suite', 'scaffold evals', 'write evals for my…
methodology
Answers LLM-evaluation design questions from Anthropic's official evaluation guidance — success criteria, eval-suite design, and grading methods for LLM-based applications and Claude Code skills. Use when: 'define success criteria', 'how do I eval this', 'LLM eval', 'measure prompt quality', 'LLM judge', 'model-graded…
benchmark-before-optimize
For performance work: measure before changing, profile to find bottlenecks, compare before and after.
test-structural-invariants
For data structure validation: test lengths, relationships, constraints that must hold, verify setup is correct.
test-with-examples
For example-driven development: test cases as specifications, input/output pairs, documentation through examples.