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 agentmods add commands/mrgnfndr-dr/mind-clone/mind-clone-buildgit clone --depth 1 https://github.com/mrgnfndr-dr/mind-cloneWrote 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/mrgnfndr-dr/mind-clone/mind-clone-build)<a href="https://agentmods.dev/commands/mrgnfndr-dr/mind-clone/mind-clone-build"><img src="https://agentmods.dev/badge/commands/mrgnfndr-dr/mind-clone/mind-clone-build.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 | $0.00012 | $0.00286 |
| Opus 5 | $0.00006 | $0.00143 |
| Sonnet 5 | $0.00002 | $0.00057 |
| Haiku 4.5 | $0.00001 | $0.00029 |
Grade A, and why
mind-clone-build 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 5d 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
Invoke the mind-clone skill in BUILD mode for this request.
Arguments: $ARGUMENTS
- Treat
$ARGUMENTSas the author to clone (plus optional flags:--archive-rawto additionally keep more book text — transcripts/article text are already saved by default; depthquick|standard|exhaustive). - Run the full pipeline in
SKILL.md: discovery → source table (review gate) → harvest (extract-on-the-fly, with timestamps + deep-links) → cognitive model (lean — a thin index, retrieval does the heavy lifting) → playbook (if the author teaches a methodology) → faithfulness check (held-out smoke test) → finalize. Write everything under./clones/<author-slug>/. - If a clone for this author already exists, ask whether to update/rebuild it or just talk to it (
/mind-clone-ask) before overwriting. - Follow the language protocol (ask chat language on first use; artifacts in English) and the quality gates (no fabrication, report every coverage gap).
- To talk to an existing clone instead, use
/mind-clone-ask.
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.
- 5d ago First seen · 15 lines · 12 tokens per session scan A d9f59ca42954
mind-clone-build is a command published in the GitHub repository mrgnfndr-dr/mind-clone (3 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 286 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
valuation-methods
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genshijin-compress
Markdown・テキストファイルを原始人形式へ安全圧縮.
save
Save this conversation as a new or existing reusable context.
enum-udp
UDP scan + service follow-up — top ports first, full sweep only when justified.
claude-recall
Update project context using the local LLM (Qwen2.5 0.5B).
review
Submit a story for verification (In Progress → In Review, no PR yet).