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 modeled-information-format/mnemonic --skill qmd-reindexgit clone --depth 1 https://github.com/modeled-information-format/mnemonicWrote 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/modeled-information-format/mnemonic/qmd-reindex)<a href="https://agentmods.dev/skills/modeled-information-format/mnemonic/qmd-reindex"><img src="https://agentmods.dev/badge/skills/modeled-information-format/mnemonic/qmd-reindex/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/modeled-information-format/mnemonic/qmd-reindex"><img src="https://agentmods.dev/badge/skills/modeled-information-format/mnemonic/qmd-reindex.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 | $0.00024 | $0.00218 |
| Opus 5 | $0.00012 | $0.00109 |
| Sonnet 5 | $0.00005 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
qmd-reindex 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
QMD Re-index Skill
Re-index mnemonic memories for qmd search.
Usage
qmd update && qmd embed
qmd update— rebuilds the BM25 full-text indexqmd embed— regenerates vector embeddings for semantic search
Options
# Index only (skip embeddings — faster)
qmd update
# Specific collection only
qmd update -c mnemonic-zircote && qmd embed -c mnemonic-zircote
# Check status after
qmd status
When to Re-index
- After
/mnemonic:capturesessions - After bulk memory imports
- After editing memory files directly
- Periodically if memories are added by hooks
Indexing is not automatic. Searches will miss memories added since the last index.
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 · 43 lines · 24 tokens per session scan A d79c05eabeeb
qmd-reindex is a skill published in the GitHub repository modeled-information-format/mnemonic (23 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 218 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 2026-08-30.
Other skills, from other repositories
reflect
Deep reflection skill - read memory and context, decide whether there is something worth sending.
digest-auto
A skill for analysing the current state of an EpisodicRAG system, which retrieves information from records of past events or work sessions.
digest-setup
An interactive setup process for the early stage of EpisodicRAG, a system that retrieves useful information from past conversations.
okf
Author, maintain, and consume Open Knowledge Format (OKF) knowledge bundles — portable markdown + YAML frontmatter that both humans and agents read. Use when capturing project knowledge (services, APIs, schemas, metrics, runbooks, decisions) into an OKF bundle, when updating one after code or docs change, or when a…
forgetful-remember
Remember knowledge worth keeping — a decision made, a solution found, a preference stated, a pattern confirmed. Use when work surfaces something future sessions will need, or the user asks to remember something. Routes content to the right store (memory, document, code artifact, entity, procedure, file) and enforces…
audhd-executive-function
AUDHD executive function accommodations. Apply to all output the founder will act on.