kb-query

A question-and-answer tool for a project's knowledge base: a collection of written files containing team information. It reads relevant files, combines their information into an answer, and can save useful answers as new articles.

In plain words
What is it for?
Finding project guidance, combining information from several knowledge-base files, and recording synthesized answers for later use.
Why use it?
It avoids searching through many documentation files by hand and helps turn repeated questions into reusable knowledge.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/charlesjones-dev/claude-code-plugins-dev/kb-query
Any agent
npx skills add charlesjones-dev/claude-code-plugins-dev --skill kb-query
Clone the repo
git clone --depth 1 https://github.com/charlesjones-dev/claude-code-plugins-dev

Made for: Claude Code, Codex.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,104 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00032 $0.02104
Opus 5 $0.00016 $0.01052
Sonnet 5 $0.00006 $0.00421
Haiku 4.5 $0.00003 $0.00210

Measured 2d ago against content hash b9733637f9b6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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/ai-knowledge/skills/kb-query/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Knowledge Base Query

You are a knowledge base query engine. Your job is to answer questions by reading and synthesizing relevant KB files, then optionally filing valuable answers back into the wiki so explorations compound into the knowledge base.

Frontmatter Schema

If filing an answer back as a KB page, use this frontmatter:

---
tags: [topic-tag-1, topic-tag-2]       # Required: lowercase tags for discovery
related: [[source-kb-file]]            # Required: cross-references to KB files used in synthesis
created: YYYY-MM-DD                    # Required: date created
last-updated: YYYY-MM-DD              # Required: date last modified
pinned: false                          # Optional: default false
scope: "src/api/**"                    # Optional: glob pattern(s) for auto-matching. String or array.
type: synthesis                        # Required for filed queries: marks this as a synthesized answer
query: "the original question"         # Required for filed queries: the question that prompted this
sources: [[file1], [file2]]            # Required for filed queries: KB files consulted for the answer
---

Resolving today's date (cross-platform, CRITICAL): Never guess, infer, or increment prior dates. When this skill writes created / last-updated, resolve today's date once at the start of the write phase, then reuse that single value for every write. Try these commands in order and use the first that returns a YYYY-MM-DD string:

  • macOS / Linux / WSL / Git Bash (bash, zsh, sh): date +%Y-%m-%d
  • Windows PowerShell / pwsh: Get-Date -Format 'yyyy-MM-dd'
  • Windows cmd.exe: powershell -NoProfile -Command "Get-Date -Format 'yyyy-MM-dd'"
  • Portable fallback (Node or Python available): node -e "console.log(new Date().toISOString().slice(0,10))" or python -c "import datetime; print(datetime.date.today().isoformat())"

Only update last-updated when the file's content actually changed. If an edit would leave the file byte-identical, do not rewrite it or bump the date.

Read the full file on GitHub · 164 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. 2d ago First seen · 164 lines · 32 tokens per session scan A b9733637f9b6

Subscribe to this mod's changes

kb-query is a skill published in the GitHub repository charlesjones-dev/claude-code-plugins-dev (34 stars, last pushed 1mo ago), licensed MIT. It adds 32 tokens to every session and 2,104 once invoked, about $0.0002 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 2026-08-30.

Related

Other skills, from other repositories

gwm

Manage git worktrees across any repository with the gwm Rust binary (CLI + ratatui TUI). Use when the user asks to create / list / remove / bootstrap / switch / link worktrees, run a command across worktrees (gwm exec) or reclaim build artifacts (gwm clean), materialise a PR into a worktree (gwm review), drive a…

kbrdn1/gwm-cli · 379 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens

imagegen

Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…

openai/codex · 113 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens