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 superamped/ai-marketing-skills --skill reply-writergit clone --depth 1 https://github.com/superamped/ai-marketing-skillsWrote 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/superamped/ai-marketing-skills/reply-writer)<a href="https://agentmods.dev/skills/superamped/ai-marketing-skills/reply-writer"><img src="https://agentmods.dev/badge/skills/superamped/ai-marketing-skills/reply-writer/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/superamped/ai-marketing-skills/reply-writer"><img src="https://agentmods.dev/badge/skills/superamped/ai-marketing-skills/reply-writer.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 | $0.00044 | $0.01235 |
| Opus 5 | $0.00022 | $0.00617 |
| Sonnet 5 | $0.00009 | $0.00247 |
| Haiku 4.5 | $0.00004 | $0.00123 |
Grade A, and why
reply-writer 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Reply Writer
Usage
Use when writing a reply to a Reddit thread, crafting authentic engagement, or preparing replies for community participation. Works for any subreddit.
Process
Step 1: Gather Inputs
Ask the user for:
- Product/brand context — what you sell, who it's for, what tone to use (so the reply can subtly align voice without being promotional)
- Subreddit name — which community the reply is for
- Thread title — exact title
- Original post — full text of the OP
- Top existing replies — at least the top 3 replies
- Tone guidance (optional) — "more casual," "technical audience," etc.
Step 2: Thread Analysis
- Identify what the OP is actually confused about (not what they asked)
- Decide what is missing or unclear in existing replies
Step 3: Write the Reply
Write a reply that:
- Feels human and experience-based
- Explains the reasoning or system behind the answer
- Does not sell, promote, or link
- Sounds like it belongs in this exact subreddit
- Uses natural formatting (short paragraphs, bullets if native)
- Prioritizes clarity over completeness
Step 4: Apply Format Rotation
Auto-rotate between three formats (don't repeat consecutively in a session):
Format 1: "Here's What Actually Works"
When to use: Actionable question with a clear answer. OP needs steps, not debate.
Structure:
- Short framing (1-2 sentences)
- Step-by-step logic with reasoning
- No authority flexing or credentials
- End with what happens next, not a CTA
Good Example:
This breaks because you're rebuilding the entire tree on each re-render. You want to memoize the expensive computation. The way this typically works: calculate once, pass down to children, children only recalculate when that specific value changes (not the parent). React doesn't know your data structure, so you have to tell it explicitly via useMemo or dependency arrays.
Bad Example:
You should use React.memo! Check out this blog post I wrote about optimization techniques. It's super important to understand memoization, and our product handles this automatically. Learn more here [link].
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 · 133 lines · 44 tokens per session scan A b875cc1d8cc7
reply-writer is a skill published in the GitHub repository superamped/ai-marketing-skills (67 stars, last pushed 24d ago), licensed MIT. It adds 44 tokens to every session and 1,235 once invoked, about $0.0002 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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