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/monoes/monomindWrote 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/monoes/monomind/monograph-search)<a href="https://agentmods.dev/commands/monoes/monomind/monograph-search"><img src="https://agentmods.dev/badge/commands/monoes/monomind/monograph-search/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/monoes/monomind/monograph-search"><img src="https://agentmods.dev/badge/commands/monoes/monomind/monograph-search.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 | $0.00046 | $0.00769 |
| Opus 5.5 | $0.00018 | $0.00308 |
| Sonnet 5.5 | $0.00009 | $0.00154 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
monograph:monograph-search 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 yesterday.
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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
monograph search
Search the knowledge graph using BM25 keyword search, semantic (embedding) search, or hybrid RRF-merged results.
Usage
npx monomind monograph search [options]
Options
| Flag | Short | Type | Default | Required | Description |
|---|---|---|---|---|---|
--query |
-q |
string | — | yes | Search query text |
--limit |
-l |
number | 15 |
no | Maximum results to return |
--label |
— | string | — | no | Filter by node type: Section, Function, Concept, File, Class |
--mode |
-m |
string | hybrid |
no | Search mode: bm25, semantic, hybrid |
--path |
-p |
string | cwd | no | Root path (location of .monomind/monograph.db) |
Examples
# Hybrid search (default) — best general-purpose
npx monomind monograph search -q "authentication flow"
# Keyword search — exact term matching
npx monomind monograph search -q "JWT" --mode bm25
# Semantic search — concept/meaning matching
npx monomind monograph search -q "pipeline architecture" --mode semantic
# Filter to doc sections only
npx monomind monograph search -q "API design" --label Section
# Find function definitions
npx monomind monograph search -q "parseToken" --label Function
# More results
npx monomind monograph search -q "error handling" -l 30
Search Modes
| Mode | Algorithm | Best For |
|---|---|---|
hybrid |
RRF merge of BM25 + semantic | General purpose (recommended) |
bm25 |
Full-text BM25 ranking | Exact term matching, known symbol names |
semantic |
Embedding cosine similarity | Conceptual queries, meaning-based lookup |
Hybrid mode runs both BM25 and semantic internally, then merges with Reciprocal Rank Fusion (RRF).
Node Labels (--label filter)
| Label | Represents |
|---|---|
File |
Source or document files |
Section |
Markdown headings / doc sections |
Function |
Code functions and methods |
Class |
Code classes and interfaces |
Concept |
Extracted semantic concepts |
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.
- yesterday First seen · 97 lines · 46 tokens per session scan A b238f10a4053
monograph:monograph-search is a command published in the GitHub repository monoes/monomind (23 stars, last pushed yesterday), licensed Apache-2.0. It adds 46 tokens to every session and 769 once invoked, about $0.0002 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 2026-10-26.
Other commands, from other repositories
claude-flow-memory
Interact with Claude-Flow memory system.
sessions
Manage OpenAI Codex session history, aliases, and session metadata.
checkpoint
Create an identified recovery point and inspect exact restoration differences.
recall
Retrieve scoped lessons and evaluate their assumptions, conflicts, and applicability.
retro
Write this session's lessons into the project's lessons/ directory using the memory-discipline format.
save-session
Save current session state to a dated file in /.codex/session-data/ so work can be resumed in a future session with full context.