CustomerNewsletter: Skill for Claude Code

.github/skills/content-retrieval/SKILL.md

content-retrieval is a skill for Claude Code, Codex from briancl2/CustomerNewsletter. It costs 75 tokens per session (3,817 once invoked), scanned A, original, MIT.

A newsletter-pipeline step that fetches web pages listed in a Phase 1A URL manifest and extracts relevant content into five source-specific files.

In plain words
What is it for?
Use it in Phase 1B to gather content from GitHub, VS Code, Visual Studio, JetBrains, and Xcode for a newsletter.
Why use it?
It removes the need to open each listed URL and organize the findings manually. Processing one source at a time also keeps the work manageable.

Skill for Claude CodeCodex

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

This is briancl2/CustomerNewsletter's own configuration. It tells Claude Code and Codex how to work on CustomerNewsletter itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything CustomerNewsletter configures →

Reuse

Borrowing it

Nothing to install: this file belongs to briancl2/CustomerNewsletter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/briancl2/CustomerNewsletter/main/.github/skills/content-retrieval/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/briancl2/CustomerNewsletter

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 content-retrieval

README.md
[![agentmods](https://agentmods.dev/badge/skills/briancl2/customernewsletter/content-retrieval/github.svg)](https://agentmods.dev/skills/briancl2/customernewsletter/content-retrieval)
Your own site
<a href="https://agentmods.dev/skills/briancl2/customernewsletter/content-retrieval"><img src="https://agentmods.dev/badge/skills/briancl2/customernewsletter/content-retrieval/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 content-retrieval

Your own site · 80×15
<a href="https://agentmods.dev/skills/briancl2/customernewsletter/content-retrieval"><img src="https://agentmods.dev/badge/skills/briancl2/customernewsletter/content-retrieval.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,817 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00075 $0.03817
Opus 5 $0.00037 $0.01909
Sonnet 5 $0.00015 $0.00763
Haiku 4.5 $0.00007 $0.00382

Measured 9d ago against content hash c9aae26daf23, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

content-retrieval scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sL "https://github.com/github/copilot-cli/releases.atom" \
.github/skills/content-retrieval/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Content Retrieval

Fetch content from Phase 1A URLs and extract items into 5 interim files (one per source).

Quick Start

  1. Read the Phase 1A URL manifest from workspace/newsletter_phase1a_url_manifest_*.md
  2. Process sources sequentially: GitHub, VS Code, Visual Studio, JetBrains, Xcode
  3. For each source: fetch URLs, extract features, write interim file, checkpoint
  4. Output: 5 files in workspace/newsletter_phase1b_interim_{source}_*.md

Inputs

  • Phase 1A Manifest: workspace/newsletter_phase1a_url_manifest_*.md (required)
  • DATE_RANGE: Inherited from manifest
  • Reference Year: Inherited from manifest

Output

5 interim files in workspace/:

  • newsletter_phase1b_interim_github_YYYY-MM-DD_to_YYYY-MM-DD.md
  • newsletter_phase1b_interim_vscode_YYYY-MM-DD_to_YYYY-MM-DD.md
  • newsletter_phase1b_interim_visualstudio_YYYY-MM-DD_to_YYYY-MM-DD.md
  • newsletter_phase1b_interim_jetbrains_YYYY-MM-DD_to_YYYY-MM-DD.md
  • newsletter_phase1b_interim_xcode_YYYY-MM-DD_to_YYYY-MM-DD.md

Core Workflow

Sequential 5-Chunk Processing

Process sources one at a time to manage context window. After each chunk: write file, confirm, clear working memory.

Chunk 1: GitHub Blog + Changelog -> Write interim -> Checkpoint
Chunk 2: VS Code (Copilot only) -> Write interim -> Checkpoint
Chunk 3: Visual Studio (Copilot only) -> Write interim -> Checkpoint
Chunk 4: JetBrains Plugin -> Write interim -> Checkpoint
Chunk 5: Xcode CHANGELOG -> Write interim -> Complete

Runtime Constraint: Controlled Delegation Only

During CLI pipeline runs in this repo, unbounded or generic delegation can deadlock Phase 1B after retrieval and before interim file creation.

Hard rules:

  • Do not delegate to generic or "general-purpose" subagents.
  • If delegation is used, delegate only to a named agent with a strict Phase 1B boundary and explicit stop condition.
  • Always verify that all 5 interim files are written before exiting Phase 1B.

CRITICAL: Anchor Unit = Feature, NOT Version

Read the full file on GitHub · 216 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. 9d ago First seen · 216 lines · 75 tokens per session scan A c9aae26daf23

Subscribe to this mod's changes

content-retrieval is a skill published in the GitHub repository briancl2/CustomerNewsletter (11 stars, last pushed 3mo ago), licensed MIT. It adds 75 tokens to every session and 3,817 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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