kb-query

kb-query is a skill for Claude Code from SteveGJones/ai-first-sdlc-practices. It costs 62 tokens per session (4,501 once invoked), scanned A, original, MIT.

A question-and-answer tool for a project knowledge base, using its index to find the most relevant research files and return evidence with citations. It supports both fact-finding questions and broader requests to connect findings into an argument.

In plain words
What is it for?
Ask what the library says about a topic, request a synthesis across findings, or save a useful answer back into the library.
Why use it?
Searching a large research library by hand takes time and can require reading many irrelevant files. This narrows the search to the material most likely to answer the question.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions Claude Code.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the sdlc-knowledge-base plugin — 16 skills, 4 agents shipped together

Good fit Ask what the library says about a topic, request a synthesis across findings, or save a useful answer back into the library.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add SteveGJones/ai-first-sdlc-practices
Claude Code
/plugin install sdlc-knowledge-base

Made for: Claude Code.

Or install sdlc-knowledge-base, the plugin that ships this one along with the rest of its 16 skills, 4 agents.

Wrote 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.

agentmods badge for kb-query

README.md
[![agentmods](https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/kb-query/github.svg)](https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/kb-query)
Your own site
<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/kb-query"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/kb-query/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.

agentmods 80×15 button for kb-query

Your own site · 80×15
<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/kb-query"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/kb-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,501 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.04501
Opus 5.5 $0.00025 $0.01800
Sonnet 5.5 $0.00012 $0.00900
Haiku 4.5 $0.00006 $0.00450

Measured 17d ago against content hash 39fda88641d7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kb-query 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 17d 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.

plugins/sdlc-knowledge-base/skills/kb-query/SKILL.md · 441 lines

How it starts

The opening of the file, as written. The whole thing — 441 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Knowledge Base Query

Ask a question against the project's knowledge base. This is the query operation in the three-operations model (ingest / query / lint).

Argument

A natural-language question. Two forms:

  • Retrieval: "What does our research say about X?" — returns specific findings with citations
  • Synthesis: "Build me the case for X" or "How should we think about X?" — returns a connected argument across multiple findings with caveats

Optional flag:

  • --promote-to-library — after the librarian answers, file the answer back into the library as a new page via kb-promote-answer-to-library. Use when the answer is worth keeping for future queries.

Preflight

  • Verify the research-librarian agent is available.
  • Library availability and shelf-index presence are checked in Step 1 via the registry resolver — no manual path checks needed here.

Preflight: verify scripts package importable

Before running any subsequent step, verify the kb scripts package can be imported:

python3 -c "
import sys, os, importlib.util
PLUGIN_ROOT = os.environ.get('CLAUDE_PLUGIN_ROOT', '')
SCRIPTS = os.path.join(PLUGIN_ROOT, 'scripts')
INIT = os.path.join(SCRIPTS, '__init__.py')
if os.path.isfile(INIT) and 'sdlc_knowledge_base_scripts' not in sys.modules:
    spec = importlib.util.spec_from_file_location(
        'sdlc_knowledge_base_scripts',
        INIT,
        submodule_search_locations=[SCRIPTS],
    )
    if spec and spec.loader:
        module = importlib.util.module_from_spec(spec)
        sys.modules['sdlc_knowledge_base_scripts'] = module
        spec.loader.exec_module(module)
try:
    import sdlc_knowledge_base_scripts.registry  # noqa: F401
    print('OK')
except ImportError:
    print('MISSING')
"

If output is MISSING, prepend this preamble to every subsequent bash snippet in this skill:

import sys, os, importlib.util
PLUGIN_ROOT = os.environ.get('CLAUDE_PLUGIN_ROOT', '')
SCRIPTS = os.path.join(PLUGIN_ROOT, 'scripts')
INIT = os.path.join(SCRIPTS, '__init__.py')
if os.path.isfile(INIT) and 'sdlc_knowledge_base_scripts' not in sys.modules:
    spec = importlib.util.spec_from_file_location(
        'sdlc_knowledge_base_scripts',
        INIT,
        submodule_search_locations=[SCRIPTS],
    )
    if spec and spec.loader:
        module = importlib.util.module_from_spec(spec)
        sys.modules['sdlc_knowledge_base_scripts'] = module
        spec.loader.exec_module(module)

Read the full file on GitHub · 441 lines

Changes

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.

  1. 17d ago Changed · +2 lines 39fda88641d7
  2. 1mo ago First seen · 439 lines · 62 tokens per session scan A 62ee995ecbbc

Subscribe to this mod's changes

kb-query is a skill published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 15d ago), licensed MIT. It adds 62 tokens to every session and 4,501 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 2026-09-03.

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