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 agentmods add skills/saidsef/mcp-github-pr-issue-analyser/interactive-uinpx skills add saidsef/mcp-github-pr-issue-analyser --skill interactive-uigit clone --depth 1 https://github.com/saidsef/mcp-github-pr-issue-analyserWrote 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/saidsef/mcp-github-pr-issue-analyser/interactive-ui)<a href="https://agentmods.dev/skills/saidsef/mcp-github-pr-issue-analyser/interactive-ui"><img src="https://agentmods.dev/badge/skills/saidsef/mcp-github-pr-issue-analyser/interactive-ui.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00958 |
| Opus 5 | $0.00009 | $0.00479 |
| Sonnet 5 | $0.00004 | $0.00192 |
| Haiku 4.5 | $0.00002 | $0.00096 |
Grade A, and why
interactive-ui 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 4d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interactive UI
Two ways to put something in front of the user: a set of buttons to choose from, or a rendered panel built from Prefab components.
Prerequisites
- A client that renders MCP UI. Text-only clients will not show these
- No GitHub token, since neither tool calls GitHub
Choosing Between Them
choose when the answer is one of a few known options and you need the user to
pick. github_pr_issue_analyser_ui when you have data worth showing as
something other than a wall of text.
Neither replaces a plain answer. A single fact belongs in the reply.
choose
| Parameter | Type | Default | Description |
|---|---|---|---|
prompt |
str | - | The question put to the user |
options |
list[str] | - | The options to show as buttons |
title |
str | None | None |
Heading for the card, falls back to the provider default |
The user clicks one option and the selection comes back into the conversation as a message. Nothing is returned to you directly, so treat the click as the user's next turn and carry on from it.
This is the right way to get confirmation before anything irreversible. The
merge step in the pr-management skill requires an explicit yes from the user,
and merge_pr does not prompt on its own, so ask here first:
choose(
prompt="Merge PR #123 into main with a squash commit?",
options=["Merge it", "Not yet"],
title="Confirm merge",
)
It also suits picking a target when a search returned several, such as which of four open PRs to review, or which release version to tag.
Keep the options short enough to read on a button and make them distinct. Do not offer an option you are not prepared to act on.
github_pr_issue_analyser_ui
| Parameter | Type | Default | Description |
|---|---|---|---|
code |
str | - | Prefab Python source to execute |
data |
str | dict | None | None |
Initial data, as a dict or a JSON string |
The code runs in a Pyodide WASM sandbox and renders as a streaming UI. Import
everything you use, and make PrefabApp the outermost context manager so the
panel renders progressively as the code is written:
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.
- 4d ago First seen · 105 lines · 18 tokens per session scan A 32c6843a2cbd
interactive-ui is a skill published in the GitHub repository saidsef/mcp-github-pr-issue-analyser (6 stars, last pushed 2d ago), licensed Apache-2.0. It adds 18 tokens to every session and 958 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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