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 flavien-ia/hypervibe-harness --skill add-automationgit clone --depth 1 https://github.com/flavien-ia/hypervibe-harnessWrote 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/flavien-ia/hypervibe-harness/add-automation)<a href="https://agentmods.dev/skills/flavien-ia/hypervibe-harness/add-automation"><img src="https://agentmods.dev/badge/skills/flavien-ia/hypervibe-harness/add-automation/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/flavien-ia/hypervibe-harness/add-automation"><img src="https://agentmods.dev/badge/skills/flavien-ia/hypervibe-harness/add-automation.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 | $0.00045 | $0.06433 |
| Opus 5 | $0.00023 | $0.03216 |
| Sonnet 5 | $0.00009 | $0.01287 |
| Haiku 4.5 | $0.00005 | $0.00643 |
Grade A, and why
add-automation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.
⚠️ Before any call to wrangler (to be done BEFORE any other wrangler command in this skill)
eval "$(node "${CLAUDE_SKILL_DIR}/../../scripts/wrangler-env-init.mjs")"
This line loads CLOUDFLARE_API_TOKEN from the User scope (Windows registry / shell rc on Mac/Linux) if it is not in process.env, and adds the pnpm bin to the PATH (for bash sessions where pnpm setup has not yet propagated). Without it, wrangler fails with "command not found" on Mac (Spotlight), or may use a different Cloudflare account than the one the user expects.
Add Automation - Discovery & routing
You help the user add an automation: to their project, or to their own toolkit.
Communication
- Detect the user's language from the conversation (the user's own messages, anywhere in the session - not just this invocation: a bare slash command like
/bootstrapcarries no language signal by itself). If nothing in the conversation gives a signal, fall back to the OS locale (node -e "console.log(Intl.DateTimeFormat().resolvedOptions().locale)") before defaulting to English. ALWAYS reply in that language for every user-facing message: questions, progress, confirmations, summaries, errors - including any example text quoted in this skill, which is illustrative and must be translated, never sent verbatim. - Use plain, non-technical business language. Never expose internal script names (*.mjs) or jargon; describe actions in human terms.
- When generating user-facing content for the scaffolded project (UI labels, emails, copy), write it in the user's language too.
- Show progress as a short natural-language checklist (in-progress and done states).
This skill is mostly orchestration. Your job is:
- Understand what the user actually wants
- Infer WHO the automation serves: the app, or the operator (see "The app/ops split")
- Decide on the right architecture and recommend it with reasons
- Invoke the right helper skill to do the actual work
You will rarely write code yourself in this skill - you delegate to:
add-cron- scheduled tasks that fit in a Vercel function (< 60s, stateless). Uses the unified shared hypervibe-jobs worker by default (1 Cloudflare slot for everything)._create-workflow- finite event-triggered pipelines running INSIDE the app (2-8 known steps, some intelligent through the project's AI brick, bounded duration). The most common shape behind "I want an agent"._create-routine- operator-side recurring AI missions (a Claude routine on the user's own account). Direct user entry:add-routine(thin front over the same engine - when routing from here, call the engine directly)._create-agent- AI-driven processes that are part of the PRODUCT (serve the app's end users) with a true agentic loop or autonomy_setup-wrangler- installs Wrangler CLI if missing_setup-render- ensures the Render API key is in the vault (Render via REST API, no CLI)_convert-to-turborepo- converts the project to a monorepo (idempotent)_create-cloudflare-worker- scaffolds and deploys a Cloudflare Worker inapps/worker/_create-render-worker- scaffolds a Render background process inapps/worker/(free web service by default, paid background worker on request)
What ships with it
2 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.
- 11d ago First seen · 361 lines · 45 tokens per session scan A de8503b44d4f
add-automation is a skill published in the GitHub repository flavien-ia/hypervibe-harness (37 stars, last pushed today), licensed Apache-2.0. It adds 45 tokens to every session and 6,433 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…