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 write-jira-storygit 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/write-jira-story)<a href="https://agentmods.dev/skills/bitovi/cascade-mcp/write-jira-story"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/write-jira-story/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/bitovi/cascade-mcp/write-jira-story"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/write-jira-story.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 | $0.00102 | $0.02118 |
| Opus 5 | $0.00051 | $0.01059 |
| Sonnet 5 | $0.00020 | $0.00424 |
| Haiku 4.5 | $0.00010 | $0.00212 |
Grade B, and why
write-jira-story scanned grade B with 2 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 11d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -sL "{downloadUrl}" -o /tmp/cascade-figma.zip && unzip -qo /tmp/cascade-figma.zip -d .temp/cascade/figma/ && rm /tmp/cascade-figma.zip Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sL "{downloadUrl}" -o /tmp/cascade-figma.zip && unzip -qo /tmp/cascade-figma.zip -d .temp/cascade/figma/ && rm /tmp/cascade-figma.zip How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Write Story
Write or refine a Jira story description using comprehensive context from all linked sources (Figma, Confluence, Google Docs, parent epic).
When to Use
Use when the user wants to:
- Write a new story description from Figma designs and specs
- Refine an existing story with newly available context (answered questions, updated designs)
- Re-run story writing to incorporate inline answers (❓ → 💬 flipping)
Typical triggers:
- "Write the story for PROJ-456"
- "Update PROJ-456 with the latest design context"
- "Refine this story — questions have been answered"
Required Input
- Jira issue key (e.g.,
PROJ-456) — the story to write/refine
Procedure
Phase 1: Fetch the Starting Issue
Call MCP tool extract-linked-resources with the Jira issue URL (e.g., https://myco.atlassian.net/browse/PROJ-456).
Save the returned markdown+frontmatter directly to .temp/cascade/context/jira-PROJ-456.md.
Parse discoveredLinks from frontmatter to build .temp/cascade/context/to-load.md.
Phase 2: Iterative Content Loading
For each non-Figma URL in to-load.md (prioritize parent and blocks relationships first):
- Call
extract-linked-resourceswith the URL - Save the returned markdown to
.temp/cascade/context/{type}-{identifier}.md - Parse
discoveredLinksfrom frontmatter — add any new URLs toto-load.md - Repeat until no unloaded non-Figma URLs remain
Phase 3: Figma Batch Load
For each Figma URL:
- Call
figma-batch-zipwith the URL- This returns a
downloadUrlandmanifest
- This returns a
- Try to download and extract:
curl -sL "{downloadUrl}" -o /tmp/cascade-figma.zip && unzip -qo /tmp/cascade-figma.zip -d .temp/cascade/figma/ && rm /tmp/cascade-figma.zip - If curl fails (e.g., DNS blocked in cloud environments):
- Call
figma-batch-cachewith the same Figma URLs - Note the
batchTokenandmanifestfrom the response
- Call
Phase 4: Parallel Frame Analysis
Choose the matching path based on Phase 3 outcome:
What ships with it
1 file 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.
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.
- 11d ago First seen · 183 lines · 102 tokens per session scan B 97dfa56736e2
write-jira-story is a skill published in the GitHub repository bitovi/cascade-mcp (24 stars, last pushed 21d ago), licensed MIT. It adds 102 tokens to every session and 2,118 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, 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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