kb-prepare-batch

kb-prepare-batch is a skill for Claude Code from SteveGJones/ai-first-sdlc-practices. It costs 61 tokens per session (772 once invoked), scanned A, original, MIT.

A preparation tool for adding source files to a project knowledge base. It converts formats such as PDF, DOCX, spreadsheets, HTML, and TeX into Markdown and records where the content came from.

In plain words
What is it for?
Use it to stage batches of source files in a raw library folder, choosing whether to copy or move them and which converter to use.
Why use it?
It turns mixed document formats into a consistent form before they are indexed or reviewed.

Skill for Claude Code

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

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 Use it to stage batches of source files in a raw library folder, choosing whether to copy or move them and which converter to use.

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-prepare-batch

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/kb-prepare-batch"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/kb-prepare-batch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 772 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 $0.00061 $0.00772
Opus 5.5 $0.00024 $0.00309
Sonnet 5.5 $0.00012 $0.00154
Haiku 4.5 $0.00006 $0.00077

Measured 1mo ago against content hash 999163587b11, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kb-prepare-batch 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 1mo 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-prepare-batch/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prepare Batch for Ingestion

Stage source files into library/raw/, converting non-markdown formats. First stage of the two-stage batch workflow: prepare (this skill) then ingest (kb-ingest-batch). No agent invoked.

Arguments

Argument Description
files... Source file paths
--from <manifest> File with one path per line
--copy Leave source files in place (default)
--move Move source files into raw/
--overwrite Allow re-conversion of already-staged files
--force-markitdown Use markitdown for all files
--force-pandoc Use pandoc for all files

Format routing

Extension Converter
.md Pass-through
.pdf, .docx, .pptx, .xlsx, .html, .csv markitdown
.tex, .epub, .rst, .org pandoc
Anything else Error per file; rest of batch continues

Preflight

  1. Check markitdown --help — warn if absent
  2. Check pandoc --version — warn if absent
  3. If only .md files: proceed without converters

Steps

1. Resolve configuration

Read CLAUDE.md [Knowledge Base] section to extract library_path (default library/). Target is <library_path>/raw/.

2. Run kb_prepare_batch.py

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:
        mod = importlib.util.module_from_spec(spec)
        sys.modules['sdlc_knowledge_base_scripts'] = mod
        spec.loader.exec_module(mod)
from sdlc_knowledge_base_scripts.kb_prepare_batch import main
args = ['--target-dir', '<raw_dir>']
# Add --copy or --move (default: --copy)
# Add source file paths
# Add --from <manifest> if passed
# Add --overwrite if passed
# Add --force-markitdown or --force-pandoc if passed
sys.exit(main(args))
"

Read the full file on GitHub · 89 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. 1mo ago First seen · 89 lines · 61 tokens per session scan A 999163587b11

Subscribe to this mod's changes

kb-prepare-batch is a skill published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 15d ago), licensed MIT. It adds 61 tokens to every session and 772 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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