Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add CassetteTapeCrackle/claude-starters/plugin install 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/commands/cassettetapecrackle/claude-starters/apply-starter)<a href="https://agentmods.dev/commands/cassettetapecrackle/claude-starters/apply-starter"><img src="https://agentmods.dev/badge/commands/cassettetapecrackle/claude-starters/apply-starter/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/commands/cassettetapecrackle/claude-starters/apply-starter"><img src="https://agentmods.dev/badge/commands/cassettetapecrackle/claude-starters/apply-starter.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 | $0.00020 | $0.00142 |
| Opus 5 | $0.00010 | $0.00071 |
| Sonnet 5 | $0.00004 | $0.00028 |
| Haiku 4.5 | $0.00002 | $0.00014 |
Grade A, and why
apply-starter scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Run the applier for the current working directory:
!${CLAUDE_PLUGIN_ROOT}/bin/apply-starter.sh $ARGUMENTS
Then confirm to the user what was applied and remind them the framework is now locked in the project CLAUDE.md.
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.
- 10d ago First seen · 12 lines · 20 tokens per session scan A 109811cd9791
apply-starter is a command published in the GitHub repository CassetteTapeCrackle/claude-starters (1 stars, last pushed 21d ago), licensed MIT. It adds 20 tokens to every session and 142 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.
Other commands, from other repositories
parallax-status
Summarize the current session and run package/native lifecycle diagnostics.
recall-save
Generate / overwrite .recall/context.md with Recall's local offline summarizer.
discover
Run a full product discovery cycle — from outcome definition through opportunity mapping, prioritisation, and experiment design. Use when the team isn't sure what to build next, or before writing a PRD for a complex feature space.
version
Display current guide and Claude Code versions.
voice-compliance
Voice/telephony compliance check — invokes voice-ai-reviewer to produce TM-voice-{slug}.md with TCPA, STIR/SHAKEN, state recording-consent, EU AI Act Art. 50, and synth-voice deepfake-law gaps.
diff-docs
Compare official Anthropic docs baseline vs current snapshot (no network — instant).