route-by-query-shape SKILL.md skillA

route-by-query-shape from bitterbot-ai/bitterbot-desktop is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add bitterbot-ai/bitterbot-desktop/route-by-query-shape@git:20260523.6463e9f

Pins git:20260523.6463e9f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
bitterbot-ai/bitterbot-desktop
Path
skills/route-by-query-shape/SKILL.md
Versions recorded
1
Latest version
git:20260523.6463e9f, committed May 23, 2026
Size
1,345 bytes
Repository stars
2,482
License
MIT

When the agent calls memory_search with a relationship-shaped query ("who did I talk to about X"), redirect to the knowledge_graph backend where it will actually find the answer.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# route-by-query-shape

When you ask Bitterbot a relationship question — "who did I talk to about Q4?", "who worked with me on Foo?" — the vector-based `memory_search` often misses because the answer lives in entity relationships, not in chunk text. The graph backend gets these right.

This interceptor watches `memory_search` calls, detects relationship-shaped queries, extracts the salient entity, and re-routes the call to the graph backend before it executes.

## What you'll see

For relationship questions, the agent will hit the knowledge graph rather than searching through unstructured text. Expect noticeably better hit rates on "who did X with Y" style questions.

## Implementation

Built-in interceptor `route-by-query-shape:relationship` lives in `src/agents/skills/builtin-interceptors/route-by-query-shape.ts`. Fires up to 12 times per session.

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add bitterbot-ai/bitterbot-desktop/route-by-query-shape@sha256:28c1050584503692

The line at the top of this page pins the label git:20260523.6463e9f, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_jjbgesj5lutc5rlt.svg)](https://markdownregistry.com/a/art_jjbgesj5lutc5rlt)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on May 23, 2026.

versioncommittedcommitsizeaudit
git:20260523.6463e9f latest2026-05-23 6463e9f 1,345 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1345 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

bitterbot-ai/bitterbot-desktop · 2,482 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jjbgesj5lutc5rlt
GET https://markdownregistry.com/api/v1/resolve?ref=bitterbot-ai/bitterbot-desktop/route-by-query-shape
GET https://markdownregistry.com/api/v1/blob/28c1050584503692039b9e56cb9405436b4b1c4ca56c9b68dd7f103c29a5c489

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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