cascade-load-linked-resource-content

cascade-load-linked-resource-content is a skill for Claude Code from bitovi/cascade-mcp. It costs 80 tokens per session (1,153 once invoked), scanned A, original, MIT.

A content-loading workflow that fetches information from linked Jira issues, Confluence pages, Google Docs, and Google Sheets. It saves the results locally and records newly discovered links for later loading.

In plain words
What is it for?
Use it to gather the source material needed for design questions or Jira stories, including linked documents discovered during earlier loads.
Why use it?
It removes the need to open and copy information from many linked project documents by hand.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cascade-mcp plugin — 13 skills shipped together

Good fit Use it to gather the source material needed for design questions or Jira stories, including linked documents discovered during earlier loads.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bitovi/cascade-mcp/cascade-load-linked-resource-content
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 bitovi/cascade-mcp --skill cascade-load-linked-resource-content
Clone the repo
git clone --depth 1 https://github.com/bitovi/cascade-mcp

Made for: Claude Code.

Or install cascade-mcp, the plugin that ships this one along with the rest of its 13 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.

agentmods badge for cascade-load-linked-resource-content

README.md
[![agentmods](https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-load-linked-resource-content/github.svg)](https://agentmods.dev/skills/bitovi/cascade-mcp/cascade-load-linked-resource-content)
Your own site
<a href="https://agentmods.dev/skills/bitovi/cascade-mcp/cascade-load-linked-resource-content"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-load-linked-resource-content/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 cascade-load-linked-resource-content

Your own site · 80×15
<a href="https://agentmods.dev/skills/bitovi/cascade-mcp/cascade-load-linked-resource-content"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-load-linked-resource-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,153 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
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 $0.00080 $0.01153
Opus 5 $0.00040 $0.00576
Sonnet 5 $0.00016 $0.00231
Haiku 4.5 $0.00008 $0.00115

Measured 10d ago against content hash 5e081436a4dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

cascade-load-linked-resource-content 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 10d 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.

- **Do NOT load Figma URLs** — they require batch loading via `figma-batch-zip` + `curl`/`unzip` (or `figma-batch-cache` in cloud environments), which the parent skill handles
plugins/cascade-mcp/skills/cascade-load-linked-resource-content/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Load Content

Fetch raw content for a set of URLs using Cascade MCP tools. Save content locally and discover new links for iterative loading.

When to Use

This is a sub-skill — called by parent skills (generate-questions, write-jira-story), not directly by users. Use when the parent skill needs to gather raw content from one or more URLs before analysis.

Prerequisites

  • Cascade MCP server connected (tools available)
  • URLs to load (from extract-linked-resources output or from to-load.md)

Procedure

1. Read the loading manifest

Check if .temp/cascade/context/to-load.md exists. If it does, read it to find URLs marked as [ ] (not yet loaded).

If the file doesn't exist, create it from the URLs provided by the parent skill:

# Links to Load

## Unloaded
- [ ] https://mycompany.atlassian.net/browse/PROJ-123
- [ ] https://docs.google.com/document/d/abc123/edit

## Loaded
(none yet)

2. Fetch content for each unloaded URL

For each [ ] URL, call the MCP tool extract-linked-resources with the URL:

extract-linked-resources({ url: "https://mycompany.atlassian.net/browse/PROJ-123" })

This returns markdown with YAML frontmatter containing:

  • The document content (description, page body, etc.) as the markdown body
  • discoveredLinks in frontmatter (categorized: figma, confluence, jira, googleDocs)
  • For Jira: relationship on each link (parent, blocks, relates-to, etc.)
  • For Jira: hasMoreComments / commentsStartAt for comment pagination

Figma URLs: If a Figma URL is passed, the tool returns a message to use figma-batch-zip instead. Figma URLs should NOT be loaded by this skill.

3. Save fetched content

Save the returned markdown+frontmatter directly as a file. The response is ready to write as-is:

.temp/cascade/context/
├── to-load.md                          ← loading manifest
├── jira-PROJ-123.md                    ← Jira issue (saved directly from tool response)
├── jira-PROJ-124.md                    ← linked Jira issue
├── confluence-page-title.md            ← Confluence page
├── gdoc-document-title.md              ← Google Doc
└── gsheet-spreadsheet-title.md         ← Google Spreadsheet

Read the full file on GitHub · 114 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. 10d ago First seen · 114 lines · 80 tokens per session scan A 5e081436a4dc

Subscribe to this mod's changes

cascade-load-linked-resource-content is a skill published in the GitHub repository bitovi/cascade-mcp (24 stars, last pushed 20d ago), licensed MIT. It adds 80 tokens to every session and 1,153 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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