Borrowing it
Nothing to install: this file belongs to jtv4k/mongodb-memory-mcp. 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/jtv4k/mongodb-memory-mcp/main/.claude/skills/indexed-text-matching/SKILL.mdgit clone --depth 1 https://github.com/jtv4k/mongodb-memory-mcpWrote 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/jtv4k/mongodb-memory-mcp/indexed-text-matching)<a href="https://agentmods.dev/skills/jtv4k/mongodb-memory-mcp/indexed-text-matching"><img src="https://agentmods.dev/badge/skills/jtv4k/mongodb-memory-mcp/indexed-text-matching/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/jtv4k/mongodb-memory-mcp/indexed-text-matching"><img src="https://agentmods.dev/badge/skills/jtv4k/mongodb-memory-mcp/indexed-text-matching.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 | $0.00110 | $0.01777 |
| Opus 5 | $0.00055 | $0.00889 |
| Sonnet 5 | $0.00022 | $0.00355 |
| Haiku 4.5 | $0.00011 | $0.00178 |
Grade A, and why
indexed-text-matching 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 11d 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 — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Indexed text matching
Every text-matching decision in this repository is downstream of three facts about MongoDB indexes. Get these wrong and the query works — correctly, even — while silently scanning the collection on every call.
The three disqualifying facts
- A case-insensitive
$regexcan never use an index. Case folding defeats b-tree bounds even when the pattern is anchored:/^abc/iscans. The index storesAbcandabcin different places, and the regex engine cannot ask for both ranges. - An unanchored
$regexcannot use index bounds either, case-sensitive or not./abc/reads every key (a full index scan at best, a collection scan when the filtered fields are not covered). - A collation index does not rescue a regex.
$regexonly uses an index whose collation is simple; a strength-2 (case-insensitive) collation helps equality and range queries, never regex.
The consequence: substring or case-insensitive matching belongs to MongoDB
Search, or to a value normalised at write time. There is no third road. This
repository learned that concretely — browse search originally shipped as an
unanchored 'i' regex over title/sourceId/uri and was a collection scan
on every keystroke until it moved onto the documents text index.
Choosing the mechanism
| You need | Use | Notes |
|---|---|---|
| Exact match, case fixed at write time | b-tree equality on a normalised value | tags are lowercased on ingest for exactly this reason |
| Exact match, arbitrary case, in $search | equals on a token field with the lowercase normalizer |
tokenEquals() in knowledge-service.ts; also how the text-leg filters work |
| Prefix, case-insensitive | wildcard abc* on a keywordLowercase string field |
no leading-wildcard cost |
| Substring, case-insensitive | wildcard *abc* on a keywordLowercase string field |
the browse-search recipe below |
| Words / relevance ranking | text on a lucene.standard string field |
the chunks text index; this is search, not matching |
Sorting inside $search |
token (strings), date, number mappings on every field you sort by |
unmapped fields cannot be sorted; _id cannot serve as a tie-break |
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.
- 11d ago First seen · 132 lines · 110 tokens per session scan A 7e696f8eb959
indexed-text-matching is a skill published in the GitHub repository jtv4k/mongodb-memory-mcp (0 stars, last pushed 5d ago), licensed Apache-2.0. It adds 110 tokens to every session and 1,777 once invoked, about $0.0006 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.
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