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 skills/zach-blumenfeld/knowledge-index/knowledge-basenpx skills add zach-blumenfeld/knowledge-index --skill knowledge-basegit clone --depth 1 https://github.com/zach-blumenfeld/knowledge-indexWrote 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/zach-blumenfeld/knowledge-index/knowledge-base)<a href="https://agentmods.dev/skills/zach-blumenfeld/knowledge-index/knowledge-base"><img src="https://agentmods.dev/badge/skills/zach-blumenfeld/knowledge-index/knowledge-base.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 | $0.00094 | $0.04532 |
| Opus 5 | $0.00047 | $0.02266 |
| Sonnet 5 | $0.00019 | $0.00906 |
| Haiku 4.5 | $0.00009 | $0.00453 |
Grade E, and why
knowledge-base scanned grade E with 3 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 3d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- TODO 1. Rewrite the references (as much as needed) 2. get all the todos left on your plate. --> Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
ki --help # if missing: curl -sSfL https://knowledge-index.ai/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
ki --help # if missing: curl -sSfL https://knowledge-index.ai/install.sh | bash How it starts
The opening of the file, as written. The whole thing — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ki — Usage
Trigger When
Reach for ki whenever the work involves a directory of markdown (notes, docs, a wiki, a "second brain") — it's your default read/search tool there:
- Set up / maintain a knowledge base on a folder (index it, keep it in sync).
- Search / find across the corpus — "what did I write about X?", "find the note on Y."
- Navigate / summarize — "what's in this vault?", its structure or coverage.
- Get / read specific sections or documents without opening whole files.
- Answer questions grounded in the user's notes/docs.
- Vault-wide / structural / inference questions — what's load-bearing, how things connect.
Rule of thumb: any time you'd otherwise grep / cat / read across a folder of .md, use ki instead.
Do Not Use When
- The source isn't markdown and isn't being converted —
kiindexes.mdonly (see the note under On First Use). - Source code or non-prose — use
grep/ripgrep/ editor tooling;kimodels prose structure (headings, links), not code. - A single known file or quick one-off read where indexing isn't worth it — just
Readit.
What ki is
A command-line tool that builds a queryable knowledge graph index over a directory of markdown. It parses each .md into its documents, sections, and the wikilinks between them, stores that structure in Neo4j, and exposes fast search, navigation, and retrieval over it — so you can find and read the right slice of content without opening and scanning whole files.
Why use ki
It's faster and far cheaper in tokens than raw file ops over a markdown corpus. Instead of grepping and reading entire files into context, you query an index and pull just the sections you need — structure (headings, containment, links) is preserved, so retrieval is targeted. See Usage for the specific jobs it beats file ops at.
Key Terms
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 224 lines · 94 tokens per session scan E 0add6b40b136
knowledge-base is a skill published in the GitHub repository zach-blumenfeld/knowledge-index (6 stars, last pushed 9d ago), licensed Apache-2.0. It adds 94 tokens to every session and 4,532 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it E with 3 findings (hidden instructions, downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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