Borrowing it
Nothing to install: this file belongs to receptron/mulmoclaude. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/receptron/mulmoclaude/main/.claude/skills/e2e-live-media/SKILL.mdgit clone --depth 1 https://github.com/receptron/mulmoclaudeWrote 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/receptron/mulmoclaude/e2e-live-media)<a href="https://agentmods.dev/skills/receptron/mulmoclaude/e2e-live-media"><img src="https://agentmods.dev/badge/skills/receptron/mulmoclaude/e2e-live-media/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/receptron/mulmoclaude/e2e-live-media"><img src="https://agentmods.dev/badge/skills/receptron/mulmoclaude/e2e-live-media.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 32 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00051 | $0.00428 |
| Opus 5.5 | $0.00020 | $0.00171 |
| Sonnet 5.5 | $0.00010 | $0.00086 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade A, and why
e2e-live-media 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 1mo 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.
What it actually says
前提
yarn devを別ターミナルで起動済み（http://localhost:5173が応答する）- Claude 認証済み（
claude login済み orANTHROPIC_API_KEY設定済み）
実行
yarn test:e2e:live:media
デバッグ時
HEADED=1 yarn test:e2e:live:media
カバーするシナリオ
- L-01: presentHtml の
<img src="../../../images/...">が/artifacts/html経由で描画される（B-17 / B-18 回帰） - L-02: 画像参照を含む Markdown 応答が PDF として DL できる（B-19 / B-20 回帰）
- L-03 以降は別 PR で順次追加（plans/feat-e2e-live.md 参照）
結果の確認
- 詳細:
playwright-report-live/media/index.html（このカテゴリ専用サブディレクトリに出力されるので、 親/e2e-liveの総合レポートは上書きされない） - 動画リプレイ:
npx playwright show-trace test-results-live/media/<spec>/trace.zip
Docker on/off の検証も必要な場合
このカテゴリ単独で両モード回したい時は、 親 /e2e-live の Step 3 と同じ手順で dev サーバを再起動してから再実行する。
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.
- 1mo ago First seen · 37 lines · 51 tokens per session scan A 924ecc17058a
e2e-live-media is a skill published in the GitHub repository receptron/mulmoclaude (386 stars, last pushed 2d ago), licensed MIT. It adds 51 tokens to every session and 428 once invoked, about $0.0002 per session on Opus 5.5. 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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