What is add-ai-access-scrapers?

A development workflow for replacing generic AI Access scraping with dedicated scrapers in a source-processing codebase.

Use it to inspect source instructions, create scraper clients, update access types and migrations, and open a pull request with the changes.

It identifies sources with many scrape items and adds direct clients where the access method can be reproduced without complex AI-driven browsing.

add-ai-access-scrapers — Skill for Claude Code by press-pass

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 press-pass/journalism-skills --skill add-ai-access-scrapers

Clone the repo

git clone --depth 1 https://github.com/press-pass/journalism-skills

Made for: Claude Code.

Or install journalism-skills, the plugin that ships this one along with the rest of its 12 skills.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/press-pass/journalism-skills/add-ai-access-scrapers/github.svg)](https://agentmods.dev/skills/press-pass/journalism-skills/add-ai-access-scrapers)

Your own site

<a href="https://agentmods.dev/skills/press-pass/journalism-skills/add-ai-access-scrapers"><img src="https://agentmods.dev/badge/skills/press-pass/journalism-skills/add-ai-access-scrapers/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/press-pass/journalism-skills/add-ai-access-scrapers"><img src="https://agentmods.dev/badge/skills/press-pass/journalism-skills/add-ai-access-scrapers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 384 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.

Model	Per session	Once invoked
Fable 5.1	$0.00025	$0.00384
Opus 5	$0.00013	$0.00192
Sonnet 5	$0.00005	$0.00077
Haiku 4.5	$0.00003	$0.00038

Measured 12d ago against content hash 075550cb292b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

add-ai-access-scrapers 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 12d 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/add-ai-access-scrapers/SKILL.md · 20 lines

What it actually says

Call the get_ai_access_sources MCP tool to get all AI Access sources with more than 10 scrape items.

For each source returned, read its aiAccessInstructions and sourceClientKey to understand what data it accesses and how. Then:

Read backend/api/services/source/source_service.py to see the current perform_scrape_for_source function and its existing patterns (REDDIT, TWITTER, NYC_OPEN_DATA, AI_ACCESS).
For each source, determine if you can replace the generic AI Access scraping with a dedicated client that fetches the data directly (e.g., via an API, RSS feed, or structured web request). Skip sources whose instructions describe access patterns that cannot be replicated without Claude (e.g., "search the web for..." or "navigate through a complex UI").
For each source you can write a dedicated scraper for: a. Create a new client module in backend/api/services/source/ that fetches the data. b. Create a new SourceAccessType choice in the backend and a migration. b. Add an elif branch in perform_scrape_for_source that checks source.source_access_type == SourceAccessType and calls your new client, creating ScrapeItem records from the response. c. Place the new branch before the generic elif source.source_access_type == SourceAccessType.AI_ACCESS branch so it takes priority.
Create a git branch, commit the changes, and open a PR. In the PR description, list each source ID and what dedicated scraper was added for it.

If no sources can be converted to dedicated scrapers, report which sources were found and why they could not be converted.

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.

12d ago First seen · 20 lines · 25 tokens per session scan A 075550cb292b

Subscribe to this mod's changes

add-ai-access-scrapers is a skill published in the GitHub repository press-pass/journalism-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 384 once invoked, about $0.0001 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 2026-08-31.

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