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.
npx skills add SteveGJones/ai-first-sdlc-practices --skill kb-staleness-checkgit clone --depth 1 https://github.com/SteveGJones/ai-first-sdlc-practicesWrote 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-staleness-check)<a href="https://agentmods.dev/skills/stevegjones/ai-first-sdlc-practices/kb-staleness-check"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/kb-staleness-check/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-staleness-check"><img src="https://agentmods.dev/badge/skills/stevegjones/ai-first-sdlc-practices/kb-staleness-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 141 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00064 | $0.01773 |
| Opus 5.5 | $0.00026 | $0.00709 |
| Sonnet 5.5 | $0.00013 | $0.00355 |
| Haiku 4.5 | $0.00006 | $0.00177 |
Grade A, and why
kb-staleness-check 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Base Staleness Check
Verify that the knowledge base shelf-index reflects the current state of the library files. Reports drifted entries without making changes. Designed as the touch-point between the knowledge base plugin and existing SDLC validation operations.
This is the opt-in environment validation extension described in the EPIC. The plugin does not modify the existing validate skill in sdlc-core directly — instead, this skill is shipped as a standalone check that users can invoke manually or wire into their pre-push validation when they want it.
Argument
- (no argument) — warning mode (default). Reports stale entries; exits 0 regardless. Informational only.
--strict— strict mode. Reports stale entries and exits 1 if any drift is found. Use this when wired into pre-push hooks where stale indexes should block the push.
Preflight
- Verify the knowledge base is configured (the
[Knowledge Base]section exists inCLAUDE.md). - Verify the shelf-index file exists at the configured path.
- If neither exists, exit 0 silently with a single-line note: "No knowledge base configured; skipping staleness check." This makes the skill safe to wire into pre-push hooks unconditionally — projects without a knowledge base see no impact.
Steps
1. Read the configured paths
Parse the [Knowledge Base] section from CLAUDE.md for:
library_path(defaultlibrary/)shelf_index_path(defaultlibrary/_shelf-index.md)
2. Compute current hashes
Use the same logic as kb-rebuild-indexes:
find <library_path> -name "*.md" \
! -name "_shelf-index.md" \
! -name "_index.md" \
! -name "log.md" \
! -path "<library_path>/raw/*" \
-exec sha256sum {} \;
Build {file_path → current_hash}.
3. Read recorded hashes from the shelf-index
Parse the shelf-index, extracting each entry's **Hash:** field. Build {file_path → recorded_hash}.
4. Compare and classify
For each file:
| Recorded | Current | Classification |
|---|---|---|
| Missing | Present | Added (file exists but no index entry) |
| Present | Missing | Removed (index entry but file deleted) |
| Present | Differs | Modified (file changed since index) |
| Present | Matches | Fresh |
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 · 205 lines · 64 tokens per session scan A 259ed6471899
kb-staleness-check is a skill published in the GitHub repository SteveGJones/ai-first-sdlc-practices (41 stars, last pushed 15d ago), licensed MIT. It adds 64 tokens to every session and 1,773 once invoked, about $0.0003 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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