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.
npx skills add bitovi/cascade-mcp --skill cascade-summarize-document-contentgit clone --depth 1 https://github.com/bitovi/cascade-mcpWrote 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/bitovi/cascade-mcp/cascade-summarize-document-content)<a href="https://agentmods.dev/skills/bitovi/cascade-mcp/cascade-summarize-document-content"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-summarize-document-content.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00058 | $0.00934 |
| Opus 5 | $0.00029 | $0.00467 |
| Sonnet 5 | $0.00012 | $0.00187 |
| Haiku 4.5 | $0.00006 | $0.00093 |
Grade A, and why
cascade-summarize-document-content 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Content
Summarize and categorize raw content previously fetched by the load-linked-resource-content sub-skill. Extract key information and discover any additional links embedded in the content.
When to Use
This is a sub-skill — called by parent skills after load-linked-resource-content has fetched raw content. Use when the parent skill needs summarized, structured content before synthesis or generation steps.
Prerequisites
- Raw content files exist in
.temp/cascade/context/(written byload-linked-resource-content) .temp/cascade/context/to-load.mdexists with loading manifest
Procedure
1. Read content files
Read all .md files in .temp/cascade/context/ (excluding to-load.md and any files ending in -summary.md).
2. Analyze each content file
For each raw content file, produce a summary that extracts:
For Jira issues (jira-*.md):
- Issue type, status, priority
- Summary and key requirements from description
- Acceptance criteria (if present)
- Linked issues and their relationships (blocks, is blocked by, relates to)
- Figma/Confluence/Google Docs URLs found in description or comments
- Key decisions or answers from comments (look for 💬 markers)
- Open questions (look for ❓ markers)
For Confluence pages (confluence-*.md):
- Page purpose and key sections
- Requirements, specifications, or design decisions documented
- Referenced Figma designs or mockups
- Links to other Confluence pages, Jira issues, or external docs
- Tables of data (preserve structure in summary)
For Google Docs (gdoc-*.md):
- Document purpose
- Key requirements or specifications
- Design decisions or constraints
- Referenced links
3. Write summary files
Save each summary alongside the raw content file with a -summary.md suffix:
.temp/cascade/context/
├── jira-PROJ-123.md ← raw content (from load-linked-resource-content)
├── jira-PROJ-123-summary.md ← summary (from summarize-document-content)
├── confluence-design-spec.md
├── confluence-design-spec-summary.md
├── gdoc-requirements.md
├── gdoc-requirements-summary.md
└── to-load.md
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.
- 8d ago First seen · 107 lines · 58 tokens per session scan A 5e3bebc4c8fc
cascade-summarize-document-content is a skill published in the GitHub repository bitovi/cascade-mcp (24 stars, last pushed 19d ago), licensed MIT. It adds 58 tokens to every session and 934 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 2026-08-30.
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