web-research-monitoring-workflows

web-research-monitoring-workflows is a skill for Claude Code, Codex from davidtoby/agent-skills. It costs 78 tokens per session (956 once invoked), scanned A, original, MIT.

A guide for using command-line tools from different AI model providers and for asking another model to review work. It also covers local document retrieval and usage summaries.

In plain words
What is it for?
Use it to run model queries, request independent code or design reviews, search indexed local documents, generate media, and inspect model usage or costs.
Why use it?
It gives a consistent process for choosing a provider, checking access, limiting shared context, and verifying generated or reviewed results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to run model queries, request independent code or design reviews, search indexed local documents, generate media, and inspect model usage or costs.

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Install with agentmods
npx agentmods add skills/davidtoby/agent-skills/web-research-monitoring-workflows
Install

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.

Any agent
npx skills add davidtoby/agent-skills --skill web-research-monitoring-workflows
Clone the repo
git clone --depth 1 https://github.com/davidtoby/agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for web-research-monitoring-workflows

README.md
[![agentmods](https://agentmods.dev/badge/skills/davidtoby/agent-skills/web-research-monitoring-workflows/github.svg)](https://agentmods.dev/skills/davidtoby/agent-skills/web-research-monitoring-workflows)
Your own site
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/web-research-monitoring-workflows"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/web-research-monitoring-workflows/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.

agentmods 80×15 button for web-research-monitoring-workflows

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/web-research-monitoring-workflows"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/web-research-monitoring-workflows.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 956 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00078 $0.00956
Opus 5.5 $0.00031 $0.00382
Sonnet 5.5 $0.00016 $0.00191
Haiku 4.5 $0.00008 $0.00096

Measured 1mo ago against content hash 0eb60cfb37c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

web-research-monitoring-workflows 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.

skills/curated/web-research-monitoring-workflows/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Research and Monitoring Workflows

Use this umbrella for information retrieval that is not tied to one site-specific API.

Core workflow

  1. Classify the retrieval need: one-shot search, fresh news, source monitoring, transcript lookup, broad summary, or recurring digest.
  2. Choose the source path:
    • Search APIs/CLIs for broad discovery.
    • RSS/Atom/Google News RSS for fresh public news and blocked/rate-limited search.
    • Blog watcher feeds for recurring source monitoring.
    • YouTube transcript tools for video-content questions.
    • Summarizer CLI for known URLs/files.
  3. Gather more than one source for factual claims unless the user asks for a single-source summary.
  4. Preserve links, timestamps, publication dates, and provider used.
  5. For digests, de-duplicate, rank by relevance, and deliver a concise card/report in the requested language.

Labeled playbooks

Search provider selection

Use Brave/Tavily/multi-engine search depending on availability, locality, freshness, and whether AI-optimized snippets or raw web results are needed.

Google News RSS fallback

When normal search is blocked or stale, use Google News RSS, then open the canonical publisher pages for verification.

Blog/RSS monitoring

Store feed lists explicitly, track seen item IDs/URLs, and summarize only new items.

Recurring digest cron jobs

Create self-contained cron prompts with source list, timezone, delivery target, duplicate-job cleanup expectations, and output format.

For scheduled news-card jobs, treat the final response as the delivery payload: do not call messaging tools unless explicitly instructed by a live user. When the prompt asks for a Feishu/Lark-card feel in Markdown, preserve the requested column order and use compact card hierarchy: date title, one-line subtitle, 2-sentence summary, 3 bullets, visual dividers, then each item as title + core content + impact/practical note + inline canonical source link. Avoid AI framing phrases and do not bundle links at the end.

Read the full file on GitHub · 71 lines

Changes

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.

  1. 1mo ago First seen · 71 lines · 78 tokens per session scan A 0eb60cfb37c1

Subscribe to this mod's changes

web-research-monitoring-workflows is a skill published in the GitHub repository davidtoby/agent-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 78 tokens to every session and 956 once invoked, about $0.0003 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 2026-09-03.

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