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.
/plugin marketplace add SteveGJones/ai-first-sdlc-practices/plugin install sdlc-knowledge-baseWrote 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/stevegjones/ai-first-sdlc-practices/kb-prepare-batch)<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.
<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>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 | $0.00061 | $0.00772 |
| Opus 5.5 | $0.00024 | $0.00309 |
| Sonnet 5.5 | $0.00012 | $0.00154 |
| Haiku 4.5 | $0.00006 | $0.00077 |
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.
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
- Check
markitdown --help— warn if absent - Check
pandoc --version— warn if absent - If only
.mdfiles: 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))
"
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.
- 1mo ago First seen · 89 lines · 61 tokens per session scan A 999163587b11
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.
Other skills, from other repositories
doc-reader
Read any common document/data file — PDF, Word (.docx), Excel (.xlsx/.xls), PowerPoint (.pptx), images (OCR), CSV/TSV, plain text, JSON/YAML/TOML, HTML/XML, and most source-code files. Use the readdocument tool.
surfsense-documents
Make or change a Word document (.docx), a PDF, a PowerPoint deck (.pptx) or an Excel workbook (.xlsx) by writing a Python script that surfsenserenderdocument runs, optionally starting from a source's own Word or PowerPoint file. Load it whenever the user asks for one of these, or for a change to one you made.
xberg-extracting-tables
Use when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
report-generator
A report-generation tool for producing SEO and GEO analysis reports in formats such as Markdown, HTML, PDF, JSON, and Excel. It also supports charts, templates, data processing, and interactive report elements.
kordoc
A command-line and server tool for reading and creating Korean official documents, including HWP, HWPX, PDF, DOCX, and spreadsheet files. It can convert documents to Markdown and create or update HWPX files.