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 dansasser/claude-code-marketplace --skill before-aftergit clone --depth 1 https://github.com/dansasser/claude-code-marketplaceWrote 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/dansasser/claude-code-marketplace/before-after)<a href="https://agentmods.dev/skills/dansasser/claude-code-marketplace/before-after"><img src="https://agentmods.dev/badge/skills/dansasser/claude-code-marketplace/before-after.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 5.1 | $0.00026 | $0.00375 |
| Opus 5 | $0.00013 | $0.00187 |
| Sonnet 5 | $0.00005 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
before-after 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 8d 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
Use the Remotion best practices skill (SKILL.md at the plugin root). Follow its scene planning algorithm for all production steps.
Before & After Comparison
Input
$ARGUMENTS
Questionnaire
If not answered by the input, ask:
- What's being compared? — URL to research, or describe the old way vs new way
- How many comparisons? — Default: 3-4 pain points vs solutions
- Tone? — Default: dramatic contrast. Other options: humorous, factual, empathetic
Script
Research the source. Identify 3-4 clear contrasts between the old way and the new way — cost, speed, reliability, effort, results. Each contrast needs a concrete detail (numbers, timeframes, real consequences). Present for approval before building.
Scene Structure
- Scene 1: Hook — state the frustration with the old way
- Scene 2-4: Comparisons — one per scene, old way (red/negative) vs new way (green/positive). Show both sides with clear visual contrast.
- Scene 5: CTA — the clear winner, what to do next
Visual Approach
- Strong color contrast: red/muted for "before", green/bright for "after"
- Each comparison can be split screen, sequential reveal, or strike-through the old way
- Numbers and stats animate in — cost comparisons, time saved, failure rates
- B-roll can match the context (frustration footage for before, clean/modern for after)
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.
- 8d ago First seen · 34 lines · 26 tokens per session scan A 7d844321f6f0
before-after is a skill published in the GitHub repository dansasser/claude-code-marketplace (9 stars, last pushed 4mo ago), licensed MIT. It adds 26 tokens to every session and 375 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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