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 parallel-web/parallel-agent-skills --skill parallel-monitorgit clone --depth 1 https://github.com/parallel-web/parallel-agent-skillsWrote 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/parallel-web/parallel-agent-skills/parallel-monitor)<a href="https://agentmods.dev/skills/parallel-web/parallel-agent-skills/parallel-monitor"><img src="https://agentmods.dev/badge/skills/parallel-web/parallel-agent-skills/parallel-monitor/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/parallel-web/parallel-agent-skills/parallel-monitor"><img src="https://agentmods.dev/badge/skills/parallel-web/parallel-agent-skills/parallel-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00096 | $0.01121 |
| Opus 5 | $0.00048 | $0.00561 |
| Sonnet 5 | $0.00019 | $0.00224 |
| Haiku 4.5 | $0.00010 | $0.00112 |
Grade A, and why
parallel-monitor 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Monitor
Action: $ARGUMENTS
Requires
parallel-cli≥ 0.4.0 for the GA Monitor commands. If a Monitor command or option is missing, tell the user to update through their installation method (see https://docs.parallel.ai/integrations/cli), then retry.
What this skill does
Monitors are long-running, server-side jobs that re-check the web on a cadence and emit events when something changes. Unlike search/research/findall (one-shot lookups), monitors persist until cancelled and can optionally deliver detected events through a webhook.
Decide the action
Parse the user's request and pick one:
| Intent | Action |
|---|---|
| "Track / watch / monitor / alert me when X" | create |
| "What am I monitoring?" / "List monitors" | list |
| "What changed?" / "Show me events for monitor X" | events |
| "Show monitor X" / "Get details for X" | get |
| "Change cadence / webhook for X" | update |
| "Check monitor X now" / "Run it now" | trigger |
| "Show me the full payload for event group X" | events with --event-group-id |
| "Stop / delete monitor X" | cancel (always confirm before cancelling) |
Create a monitor
parallel-cli monitor create "<query>" --frequency 1d --json
Frequency accepts <n><unit> with h, d, or w (for example 1h, 1d, or 1w). The aliases hourly, daily, weekly, and every_two_weeks are also accepted. Match cadence to how often the source actually changes — hourly for prices/news, weekly for filings/staffing.
Optional flags:
--webhook https://example.com/hook— deliver detected events to a URL--metadata '{"team":"competitive-intel"}'— attach JSON metadata for your own bookkeeping--output-schema '<json>'— structure the event payload (advanced)
Parse the JSON to extract the monitor_id. Tell the user:
- The monitor has been created with its ID
- The frequency (so they know how often the monitor checks)
- That recent events are available server-side — they can run
parallel-cli monitor events $MONITOR_IDlater to see what changed
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 · 101 lines · 96 tokens per session scan A b36ca3868987
parallel-monitor is a skill published in the GitHub repository parallel-web/parallel-agent-skills (73 stars, last pushed 27d ago), licensed MIT. It adds 96 tokens to every session and 1,121 once invoked, about $0.0005 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…