newsletter-signal-scanner

newsletter-signal-scanner is a skill for Claude Code, Codex from gooseworks-ai/goose-skills. It costs 69 tokens per session (1,500 once invoked), scanned A, original, MIT.

A newsletter-monitoring workflow that turns subscribed industry emails into a regular feed of relevant market information.

In plain words
What is it for?
It helps subscribe to newsletters, search them for configured topics and companies, and deliver a weekly digest of the matches.
Why use it?
It helps teams avoid missing competitor mentions, customer pain points, and changes in their market while reading many newsletters.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps subscribe to newsletters, search them for configured topics and companies, and deliver a weekly digest of the matches.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gooseworks-ai/goose-skills/newsletter-signal-scanner
About the project

Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.

gooseworks-ai/goose-skills · 1,202 stars · on GitHub · gooseworks.ai

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 gooseworks-ai/goose-skills --skill newsletter-signal-scanner
Clone the repo
git clone --depth 1 https://github.com/gooseworks-ai/goose-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 newsletter-signal-scanner

README.md
[![agentmods](https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/newsletter-signal-scanner/github.svg)](https://agentmods.dev/skills/gooseworks-ai/goose-skills/newsletter-signal-scanner)
Your own site
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/newsletter-signal-scanner"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/newsletter-signal-scanner/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 newsletter-signal-scanner

Your own site · 80×15
<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/newsletter-signal-scanner"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/newsletter-signal-scanner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,500 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Data Exfiltration · line 86
    Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.
    Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
How audits are shown
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 $0.00069 $0.01500
Opus 5 $0.00034 $0.00750
Sonnet 5 $0.00014 $0.00300
Haiku 4.5 $0.00007 $0.00150

Measured 9d ago against content hash 57dec2033510, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

newsletter-signal-scanner 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 9d 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/monitoring/composites/newsletter-signal-scanner/SKILL.md · 203 lines

How it starts

The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Newsletter Signal Scanner

Turn your newsletter subscriptions into a structured intelligence feed. Monitors an AgentMail inbox for incoming newsletters, extracts signal-relevant content by keyword campaign, and delivers a weekly digest of what matters — competitor mentions, ICP pain language, market shifts, and emerging topics.

When to Use

  • "Monitor industry newsletters for competitor mentions"
  • "Alert me when newsletters mention [topic] or [company]"
  • "What are newsletters writing about this week in our space?"
  • "Set up newsletter monitoring for [client]"

Phase 0: Intake

Newsletters to Monitor

  1. Which newsletters should be subscribed to and monitored? (List names or URLs)
    • If unknown, ask: "What 3-5 newsletters does your ICP read?" — then use sponsored-newsletter-finder to discover others.
  2. Which AgentMail inbox should receive them? (Or should we create a new one?)

Keyword Campaigns

  1. Competitor names to track (e.g., "Clay", "Apollo", "Outreach")
  2. ICP pain-language terms to track (e.g., "outbound struggling", "pipeline dried up", "SDR ramp")
  3. Market shift terms (e.g., "AI SDR", "agent-led growth", "GTM engineer")
  4. Your brand name (to catch mentions)

Output

  1. Digest delivery: Slack channel, email, or markdown file? (default: markdown file)
  2. Frequency: daily or weekly? (default: weekly)

Save campaign config to the current working directory as newsletter-signals.json (or user-specified path).

{
  "inbox_id": "<agentmail_inbox_id>",
  "keyword_campaigns": {
    "competitors": ["Clay", "Apollo", "Outreach", "Salesloft"],
    "pain_language": ["pipeline is down", "outbound isn't working", "SDR ramp"],
    "market_shifts": ["AI SDR", "GTM engineer", "agent-led"],
    "brand_mentions": ["YourCompany", "yourcompany.com"]
  },
  "newsletters": [
    {"name": "Exit Five", "from_domain": "exitfive.com"},
    {"name": "The GTM Newsletter", "from_domain": "gtmnewsletter.com"}
  ],
  "output": {
    "format": "markdown",
    "path": "newsletter-signals-[DATE].md"
  }
}

Read the full file on GitHub · 203 lines

Files

What ships with it

1 file 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. 9d ago First seen · 203 lines · 69 tokens per session scan A 57dec2033510

Subscribe to this mod's changes

newsletter-signal-scanner is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 69 tokens to every session and 1,500 once invoked, about $0.0003 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 2026-09-03.

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