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-post-design-questions-to-jiragit 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-post-design-questions-to-jira)<a href="https://agentmods.dev/skills/bitovi/cascade-mcp/cascade-post-design-questions-to-jira"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-post-design-questions-to-jira/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/cascade-post-design-questions-to-jira"><img src="https://agentmods.dev/badge/skills/bitovi/cascade-mcp/cascade-post-design-questions-to-jira.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00064 | $0.00596 |
| Opus 5 | $0.00032 | $0.00298 |
| Sonnet 5 | $0.00013 | $0.00119 |
| Haiku 4.5 | $0.00006 | $0.00060 |
Grade A, and why
cascade-post-design-questions-to-jira 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.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post Questions to Jira
Post behavior questions as a structured comment on the source Jira issue. All questions are combined into a single comment, organized by Figma frame with links.
When to Use
Use after generate-behavior-questions has produced frame-specific questions and the user confirms they want to post them to Jira.
Typical trigger: User says "post to Jira" or "yes, add to PROJ-123" after reviewing generated questions.
Required Input
- Questions organized by Figma frame (output from
generate-behavior-questions) - Jira issue key (e.g.,
PROJ-123) — the issue to comment on
Procedure
1. Format questions as markdown
Combine all frame-specific questions into a single markdown comment:
## Behavior Questions
### [Login Screen](https://www.figma.com/design/abc123?node-id=1-234)
1. ❓ Should the "Remember me" checkbox be checked by default?
2. ❓ What error message appears for invalid credentials?
### [Dashboard](https://www.figma.com/design/abc123?node-id=5-678)
1. ❓ Is the widget layout user-configurable?
---
_Generated by Cascade feature review_
Formatting rules:
- Top-level
## Behavior Questionsheading - Each frame as
### [Frame Name](figma-url)— clickable link in Jira - Numbered questions under each frame
- Footer separator with generation attribution
2. Post the comment
Call MCP tool atlassian-add-comment with:
issueKey: The Jira issue key (e.g.,PROJ-123)markdownText: The formatted markdown comment
The tool handles markdown → ADF (Atlassian Document Format) conversion automatically.
3. Report results
Confirm to the user:
- Which issue received the comment
- Total number of questions posted
- Link to the Jira issue for verification
Important Notes
- Single comment — all questions go in ONE Jira comment, not one per frame or per question
- Markdown input — the
atlassian-add-commenttool accepts markdown and converts to ADF internally - Frame links are clickable — Figma URLs in markdown become clickable links in the Jira comment
- No duplicate posting — if the user runs this again, it posts a NEW comment (doesn't update the old one). Warn the user if they're about to post duplicate questions.
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 · 70 lines · 64 tokens per session scan A 29710a39a2ff
cascade-post-design-questions-to-jira is a skill published in the GitHub repository bitovi/cascade-mcp (24 stars, last pushed 23d ago), licensed MIT. It adds 64 tokens to every session and 596 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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