Borrowing it
Nothing to install: this file belongs to Lexus2016/turbo_quant_memory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Lexus2016/turbo_quant_memory/main/CLAUDE.mdgit clone --depth 1 https://github.com/Lexus2016/turbo_quant_memoryWrote 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/instructions/lexus2016/turbo_quant_memory/claude-md)<a href="https://agentmods.dev/instructions/lexus2016/turbo_quant_memory/claude-md"><img src="https://agentmods.dev/badge/instructions/lexus2016/turbo_quant_memory/claude-md/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/instructions/lexus2016/turbo_quant_memory/claude-md"><img src="https://agentmods.dev/badge/instructions/lexus2016/turbo_quant_memory/claude-md.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 | $0.00494 | $0.00494 |
| Opus 5.5 | $0.00198 | $0.00198 |
| Sonnet 5.5 | $0.00099 | $0.00099 |
| Haiku 4.5 | $0.00049 | $0.00049 |
Grade A, and why
turbo_quant_memory CLAUDE.md 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 1mo 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 — 26 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
tqmemory Workflow
- Treat
tqmemoryas always-available project memory for this repository. - Before editing an existing area, search project memory first.
- Prefer compact retrieval first and use deeper hydration only when needed.
- After important decisions, debugging outcomes, or handoffs, save one concise note.
- After README, config, workflow, setup, or architecture changes, refresh indexed docs.
- When old knowledge becomes stale, write the new note first and then deprecate the old note.
- Promote to global memory only if the knowledge is reusable outside this repository.
- Do not leave smoke or temporary notes active in memory.
Practical Rule
- Use live project docs and current notes as the source of truth.
- Treat
.planning,.serena, and generated benchmark artifacts as historical context, not as the main operational contract.
Secrets Vault (Phase 9)
- The vault is project-scoped and lives under
~/.turbo-quant-memory/projects/<project_id>/secrets/. Never index or search it. - Always discover the right
get_secret(name)call from apattern-kind recipe note viasemantic_search. Do not guess names from chat history. - Pass
secret_valuethrough programmatically only — never echo into summaries, never store viaremember_note. - If you encounter a
master_key_unavailableormaster_key_mismatcherror response, surface itssetup_hintverbatim to the user and stop; do not try to recover by guessing keys.master_key_mismatch(v0.11.0+) means the resolved key does not match the vault — usually aTQMEMORY_SECRETS_PASSPHRASEshadowing a keyring-keyed vault (the env var is an Argon2id passphrase, not the raw keyring key); the fix is normally to unset that env var. Reads never mint a new key, so the vault stays intact. - If the user already shared a credential in the chat (or you generated one inside the conversation), call
set_secret(name, value)directly — you know the activeproject_idfrom cwd, the user running CLI from terminal may not. Recommendturbo-memory-mcp secret-set NAMEfrom a terminal only as prevention (before the user pastes), not as remediation (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.
- 1mo ago First seen · 26 lines · 494 tokens per session scan A 9ae7147d14a5
turbo_quant_memory CLAUDE.md is an instructions file published in the GitHub repository Lexus2016/turbo_quant_memory (9 stars, last pushed 5d ago), licensed MIT. It adds 494 tokens to every session, about $0.0020 per session on Opus 5.5. 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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