Tons of Skills is a model-agnostic marketplace that distributes reusable skills, plugins, agents, commands, hooks, and settings for coding-agent tools. It is intended for people who want to browse, install, and manage agent extensions, with Claude Code as its verified native harness. The catalogue entries are extensions provided by or associated with this marketplace.
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.
git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-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/plugins/jeremylongshore/tons-of-skills-marketplace/hyperflow)<a href="https://agentmods.dev/plugins/jeremylongshore/tons-of-skills-marketplace/hyperflow"><img src="https://agentmods.dev/badge/plugins/jeremylongshore/tons-of-skills-marketplace/hyperflow/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/plugins/jeremylongshore/tons-of-skills-marketplace/hyperflow"><img src="https://agentmods.dev/badge/plugins/jeremylongshore/tons-of-skills-marketplace/hyperflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
hyperflow 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 1mo 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
{
"name": "hyperflow",
"version": "5.9.0",
"description": "Point it at a GitHub issue and get back a reviewed pull request. Hyperflow turns one AI coding session into a structured engineering pipeline: plan sharpens and decomposes the work, dispatch fans out parallel workers, and a domain specialist reviews every step — nothing ships unreviewed. 18 skills, 22 specialist reviewer and investigator agents, adaptive depth so a 5-line fix never triggers a deep run, and persistent per-project memory that lives in your repo and never leaves it. Runs on whatever model your session already uses — zero config, no API keys, no daemon. Works across Claude Code, Codex App/CLI, OpenCode, Grok, Antigravity, and Cursor.",
"author": {
"name": "Mohammed Abdelhady",
"url": "https://github.com/Mohammed-Abdelhady"
},
"homepage": "https://github.com/Mohammed-Abdelhady/hyperflow",
"repository": "https://github.com/Mohammed-Abdelhady/hyperflow",
"license": "MIT",
"keywords": [
"claude-code-plugin",
"multi-agent",
"dynamic-workflows",
"workflow-chain",
"triageflow",
"personas",
"flow-profiles",
"code-review",
"project-memory",
"multi-tool"
]
}
What it installs
The manifest is a name and a version. 28 skills, 22 agents travel with it, and installing the plugin installs all of them — 3,693 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill dispatch A 81 tokens
- Skill plan A 144 tokens
- Skill audit A 84 tokens
- Skill deploy A 76 tokens
- Skill trace A 84 tokens
- Skill bridge A 126 tokens
- Skill scaffold A 86 tokens
- Skill status A 72 tokens
- Skill cache A 78 tokens
- Skill hyperflow A 96 tokens
- Skill sticky A 97 tokens
- Skill background A 89 tokens
- Skill design A 126 tokens
- Skill flush A 97 tokens
- Skill issue A 115 tokens
- Skill pr A 105 tokens
- Skill handoff A 88 tokens
- Skill hyperflow-dispatch A 85 tokens
- Skill hyperflow-plan A 124 tokens
- Skill hyperflow-audit A 75 tokens
- Skill hyperflow-design A 81 tokens
- Skill hyperflow-trace A 73 tokens
- Skill hyperflow-cache A 66 tokens
- Skill hyperflow-deploy A 75 tokens
- Skill hyperflow-status A 55 tokens
- Skill hyperflow-sticky A 75 tokens
- Skill workflow B 101 tokens
- Skill hyperflow-scaffold B 81 tokens
- Agent brain A 48 tokens
- Agent mobile A 126 tokens
- Agent algorithm-reviewer A 64 tokens
- Agent architect A 74 tokens
- Agent database-optimization-reviewer A 71 tokens
- Agent designer A 74 tokens
- Agent motion A 85 tokens
- Agent frontend-reviewer A 46 tokens
- Agent security-reviewer A 46 tokens
- Agent vulnerability-reviewer A 44 tokens
- Agent accessibility-reviewer A 39 tokens
- Agent analyst A 38 tokens
- Agent api-reviewer A 37 tokens
- Agent backend-reviewer A 36 tokens
- Agent compliance-reviewer A 63 tokens
- Agent data-ml-reviewer A 40 tokens
- Agent database-reviewer A 35 tokens
- Agent debugger A 46 tokens
- Agent devops-reviewer A 37 tokens
- Agent performance-reviewer A 37 tokens
- Agent researcher A 36 tokens
- Agent searcher A 36 tokens
What ships with it
1 file beside plugin.json 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.
- 1mo ago First seen · 25 lines scan A fc46677aac44
hyperflow is a plugin published in the GitHub repository jeremylongshore/tons-of-skills-marketplace (2,876 stars, last pushed today), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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