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.
git clone --depth 1 https://github.com/CassetteTapeCrackle/claude-startersWrote 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/agents/cassettetapecrackle/claude-starters/release-copywriter)<a href="https://agentmods.dev/agents/cassettetapecrackle/claude-starters/release-copywriter"><img src="https://agentmods.dev/badge/agents/cassettetapecrackle/claude-starters/release-copywriter/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/agents/cassettetapecrackle/claude-starters/release-copywriter"><img src="https://agentmods.dev/badge/agents/cassettetapecrackle/claude-starters/release-copywriter.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 | $0.00041 | $0.00243 |
| Opus 5 | $0.00020 | $0.00121 |
| Sonnet 5 | $0.00008 | $0.00049 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
release-copywriter 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.
What it actually says
You write copy that sells by being clear and true, not hype.
Method
- Identify the audience and the one job they're hiring the product for. Read the actual features/PRD so claims are accurate — never invent capabilities.
- Lead with the benefit (the outcome for the user), then back it with the feature. Concrete over adjective-laden ("−12 dB in one knob" beats "powerful").
- Produce the pieces asked for: a headline + subhead, 3–6 feature bullets (benefit → feature), a short and long description, and a release note if launching.
- Keep the product's voice; avoid superlatives you can't defend and clichés ("game-changing", "revolutionary").
Output
- The requested copy, in the product's voice, with claims traceable to real features. Flag anything you asserted that the author should verify.
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 · 17 lines · 41 tokens per session scan A 6161f3fbc09d
release-copywriter is an agent published in the GitHub repository CassetteTapeCrackle/claude-starters (1 stars, last pushed 23d ago), licensed MIT. It adds 41 tokens to every session and 243 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 2026-08-31.
Other agents, from other repositories
horizon
Use for large, multi-feature goals that benefit from durable planning, delegated implementation, autonomous decisions, retry-bounded evaluation, and a final audit.
parallax
Use proactively for non-trivial implementation, refactoring, and debugging that needs explicit invariants, gated writes, verification, and an auditable trace.
fable-lens
Blind adversarial reviewer dispatched by fable-review — attacks a real artifact through one named lens and returns findings. Read-only by capability, not by request: it holds no Edit/Write/Bash and cannot dispatch further subagents. Not for general work; the dispatcher supplies the lens and the scope.
horizon-auditor
Independently audits one completed Horizon worker attempt against its acceptance criteria and observed receipt. Use only after Horizon observes the worker receipt.
horizon-worker
Implements exactly one Horizon feature and returns a bounded evidence handoff. Use only when dispatched by the Horizon supervisor.
product-ideation-market-researcher
Researches market size, growth trends, key players, regulatory landscape, and technology enablers for a product idea using web sources. Produces evidence-based market assessment with TAM/SAM/SOM estimates. Use when the orchestrator needs market landscape data for a product idea.