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-ingest-batch)<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/kb-ingest-batch"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/kb-ingest-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-ingest-batch"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/kb-ingest-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 | $0.00063 | $0.01137 |
| Opus 5 | $0.00032 | $0.00568 |
| Sonnet 5 | $0.00013 | $0.00227 |
| Haiku 4.5 | $0.00006 | $0.00114 |
Grade A, and why
kb-ingest-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 11d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deprecated (v0.3.0+): Prefer
/sdlc-knowledge-base:kb-ingest-bulk, which adds a parallel map-reduce path that can update existing shared files (this skill is create-only).kb-ingest-batchremains functional for simple create-only batches.
Batch Ingestion
Drive agent-knowledge-updater over every staged file in library/raw/, with progress tracking and resume support. Second stage of the batch workflow: prepare (kb-prepare-batch) then ingest (this skill).
Arguments
| Argument | Description |
|---|---|
| (none) | Process all .md files in library/raw/ with status: raw |
<dir> |
Process all .md files in this directory |
--parallel <N> |
Dispatch up to N agents concurrently (max: 5) |
--retry-failed |
Re-queue failed entries from a prior run |
Resume behaviour
Progress is tracked in library/raw/.batch-progress.json. On re-invocation:
completedfiles are skippedfailedfiles are left alone unless--retry-failedis passed- New
status: rawfiles in raw/ are appended topending
Preflight
- Read CLAUDE.md to resolve
library_path,shelf_index_path,log_path - Verify
agent-knowledge-updateragent is available
Steps
1. Discover files and build/update manifest
python3 -c "
import sys, os, importlib.util, json
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_ingest_batch import (
discover_raw_files, load_manifest, build_manifest, save_manifest, retry_failed
)
from pathlib import Path
raw_dir = Path('<raw_dir>')
manifest_path = raw_dir / '.batch-progress.json'
existing = load_manifest(manifest_path)
if existing and <retry_failed_flag>:
existing = retry_failed(existing)
source_files = discover_raw_files(raw_dir)
manifest = build_manifest(source_files, existing=existing)
save_manifest(manifest_path, manifest)
print(json.dumps({'pending': len(manifest['pending']), 'total': manifest['total']}))
"
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.
- 11d ago First seen · 122 lines · 63 tokens per session scan A 313e6daf9f2e
kb-ingest-batch is a skill published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 1,137 once invoked, about $0.0003 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.
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