reg-feed-watcher-yachela

reg-feed-watcher-yachela is a skill for Claude Code, Codex from ThomasMoreAI/legal-skills-open. It costs 68 tokens per session (3,583 once invoked), scanned A, original, Apache-2.0.

A watcher for selected regulatory news feeds that reports material changes since the previous check. It filters updates according to a configured watchlist and materiality threshold, meaning the level of importance that warrants attention.

In plain words
What is it for?
Use it to pull configured feeds, compare new items with the last check, classify them by importance, and produce a focused regulatory update.
Why use it?
It reduces the noise of unfiltered regulatory feeds and helps teams focus on changes relevant to their work. It also exposes gaps where the configured sources do not cover a requested region or topic.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths; mentions CLAUDE.md.

Good fit Use it to pull configured feeds, compare new items with the last check, classify them by importance, and produce a focused regulatory update.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thomasmoreai/legal-skills-open/reg-feed-watcher-yachela
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 ThomasMoreAI/legal-skills-open --skill reg-feed-watcher-yachela
Clone the repo
git clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-open

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 reg-feed-watcher-yachela

README.md
[![agentmods](https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/reg-feed-watcher-yachela/github.svg)](https://agentmods.dev/skills/thomasmoreai/legal-skills-open/reg-feed-watcher-yachela)
Your own site
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/reg-feed-watcher-yachela"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/reg-feed-watcher-yachela/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 reg-feed-watcher-yachela

Your own site · 80×15
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/reg-feed-watcher-yachela"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/reg-feed-watcher-yachela.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,583 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 $0.00068 $0.03583
Opus 5.5 $0.00027 $0.01433
Sonnet 5.5 $0.00014 $0.00717
Haiku 4.5 $0.00007 $0.00358

Measured 19d ago against content hash 19dd534253a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

reg-feed-watcher-yachela 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 19d 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.

ar/regulatory/skills/reg-feed-watcher-yachela/SKILL.md · 238 lines

How it starts

The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/reg-feed-watcher

  1. Load ~/.claude/plugins/config/claude-for-legal/regulatory-legal/CLAUDE.md → watchlist, materiality threshold, feed config.
  2. Use the workflow below.
  3. Pull each feed. Filter by materiality.
  4. Output: what's new, categorized by materiality tier.

Purpose

Pull the feeds. Filter by materiality. Output what's left. The filter is the value — unfiltered feeds are noise.

Load context

~/.claude/plugins/config/claude-for-legal/regulatory-legal/CLAUDE.md → watchlist, materiality threshold, feed configuration, digest output path (if set).

references/source-catalog.md (in this skill's directory) → curated catalog of RSS/JSON/HTML sources across US federal, US state, EU/UK, international, and secondary/aggregator categories. Use when configuring new sources or when the user's watchlist has coverage gaps (see Step 0).

Workflow

Step 0: Coverage check (before pulling)

Before running the pull, compare the watchlist + feed configuration in CLAUDE.md against references/source-catalog.md:

  • Which categories (US federal / US state / EU-UK / international) does the user care about per their watchlist?
  • Which of those categories have zero or very few sources configured?

If there's an obvious gap — e.g., user watches "EU regulators" in the watchlist but has only edpb.europa.eu configured in feeds, missing ICO, CNIL, DPC Ireland — surface it once at the top of the digest:

Coverage gap noticed: Your watchlist includes [category], but only [N] feeds are configured. The source catalog lists [X] options in this category (e.g., [top 2-3 names]). Want me to suggest additions? Run /regulatory-legal:cold-start-interview --redo to update, or edit ~/.claude/plugins/config/claude-for-legal/regulatory-legal/CLAUDE.md directly.

Don't nag the same gap repeatedly — if the user has explicitly said "skip state AGs for now," respect that. Note state in CLAUDE.md so it sticks.

Step 1: Pull

Pull from all configured feed tiers. Every installation has Tier 1. Tiers 2 and 3 are additive — use them if configured, skip if not.

Read the full file on GitHub · 238 lines

Files

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.

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. 19d ago First seen · 238 lines · 68 tokens per session scan A 19dd534253a0

Subscribe to this mod's changes

reg-feed-watcher-yachela is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (95 stars, last pushed 15d ago), licensed Apache-2.0. It adds 68 tokens to every session and 3,583 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 2026-10-09.

Related

Other skills, from other repositories

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…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

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…

vercel/next.js · 83 tokens