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.
curl -O https://raw.githubusercontent.com/briancl2/CustomerNewsletter/main/.github/skills/content-retrieval/SKILL.mdgit clone --depth 1 https://github.com/briancl2/CustomerNewsletterWrote 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/briancl2/customernewsletter/content-retrieval)<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.
<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>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 | $0.00075 | $0.03817 |
| Opus 5 | $0.00037 | $0.01909 |
| Sonnet 5 | $0.00015 | $0.00763 |
| Haiku 4.5 | $0.00007 | $0.00382 |
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" \ 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
- Read the Phase 1A URL manifest from
workspace/newsletter_phase1a_url_manifest_*.md - Process sources sequentially: GitHub, VS Code, Visual Studio, JetBrains, Xcode
- For each source: fetch URLs, extract features, write interim file, checkpoint
- 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.mdnewsletter_phase1b_interim_vscode_YYYY-MM-DD_to_YYYY-MM-DD.mdnewsletter_phase1b_interim_visualstudio_YYYY-MM-DD_to_YYYY-MM-DD.mdnewsletter_phase1b_interim_jetbrains_YYYY-MM-DD_to_YYYY-MM-DD.mdnewsletter_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
What ships with it
6 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.
- examples/newsletter_phase1b_interim_github_2025-10-06_to_2025-12-02.md 68 KB
- examples/newsletter_phase1b_interim_jetbrains_2025-10-06_to_2025-12-02.md 8.5 KB
- examples/newsletter_phase1b_interim_visualstudio_2025-10-06_to_2025-12-02.md 7.4 KB
- examples/newsletter_phase1b_interim_vscode_2025-10-06_to_2025-12-02.md 13 KB
- examples/newsletter_phase1b_interim_xcode_2025-10-06_to_2025-12-02.md 8.7 KB
- references/extraction-format.md 2.9 KB
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.
- 9d ago First seen · 216 lines · 75 tokens per session scan A c9aae26daf23
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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