Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/duc01226/EasyPlatformnpx agentmods add skills/duc01226/easyplatform/e2e-demoWrote 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/duc01226/easyplatform/e2e-demo)<a href="https://agentmods.dev/skills/duc01226/easyplatform/e2e-demo"><img src="https://agentmods.dev/badge/skills/duc01226/easyplatform/e2e-demo/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/duc01226/easyplatform/e2e-demo"><img src="https://agentmods.dev/badge/skills/duc01226/easyplatform/e2e-demo.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 | $0.00038 | $0.02226 |
| Opus 5.5 | $0.00015 | $0.00890 |
| Sonnet 5.5 | $0.00008 | $0.00445 |
| Haiku 4.5 | $0.00004 | $0.00223 |
Grade A, and why
e2e-demo 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 3d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex compatibility note:
- Invoke
$skill-name: load the registered.agents/skills/<name>/SKILL.mdand execute it with Codex tools; no separateSkilltool or Claude mode switch is needed. Author.claude/**; mirrors are generated.- Track steps before execution and keep progress/evidence current. Explicit skill requests execute their protocol. Use the native question tool for required questions.
- Map foreign tool names to available host capabilities. A name mismatch needs no approval; an actually unavailable required capability stops with its step/evidence and a user question before adaptation.
- Subagent authorization: when a skill is user-invoked or AI-detected and its protocol requires subagents, that skill activation authorizes use of the required
spawn_agentsubagent(s) for that task.- Preserve protocol order unless the user approves a deviation. Workflows use
$start-workflow: gates stay fixed; other steps may flex with logged reasons and evidence.
Protocol guides — Apply each protocol only when its read-when condition holds. If a protocol's text is not in your context, read its file below before you act on it.
output-quality-principles— Readable guidance and verified contents for long skill/doc files; writing, updating or auditing a skill or reference document, or another Markdown artifact over 200 lines → .claude/skills/shared/protocols/output-quality-principles.md
Quick Summary
Goal: Produce a readable demo video from real E2E screenshots, with every case relevant to the requested scope accounted for and linked to its observed result.
Summary: Resolve scope and every relevant case → reuse --evidence or obtain matching captures → compose a screenshot storyboard → export MP4/GIF (--to, --out) → inspect and reconcile video coverage. Keep evidence production, presentation and encoding with their existing owners.
Workflow: Scope → evidence → storyboard → export → coverage check.
Key Rules:
- Freeze all relevant owner-qualified cases and variants before selecting screenshots; preserve negative and permission cases.
- Bind screenshots and results to the requested revision and one identified run/attempt per case. Report missing or stale evidence explicitly.
- Use the existing E2E and HTML export contracts; an encoded file alone proves neither complete coverage nor passing tests.
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.
- 3d ago First seen · 119 lines · 38 tokens per session scan A a06cf06205c1
e2e-demo is a skill published in the GitHub repository duc01226/EasyPlatform (12 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 2,226 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 2026-10-18.
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