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 nWave-ai/nWave --skill nw-buddy-ssot-knowledgegit clone --depth 1 https://github.com/nWave-ai/nWaveWrote 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/nwave-ai/nwave/nw-buddy-ssot-knowledge)<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-buddy-ssot-knowledge"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-buddy-ssot-knowledge/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/nwave-ai/nwave/nw-buddy-ssot-knowledge"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-buddy-ssot-knowledge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00031 | $0.01335 |
| Opus 5 | $0.00015 | $0.00668 |
| Sonnet 5 | $0.00006 | $0.00267 |
| Haiku 4.5 | $0.00003 | $0.00134 |
Grade A, and why
nw-buddy-ssot-knowledge 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.
SSOT Knowledge for the Buddy Agent
Large projects accumulate multiple copies of "the same" information: a version in pyproject.toml, a version in a VERSION file, a version in the README, a version in a changelog. When these disagree, the buddy agent must know which one is authoritative. This skill is the SSOT map for nWave projects.
Why it matters
Answering a user's question with a stale secondary copy is worse than saying "I don't know": it spreads wrong information with a confident tone. The buddy's job is to read the authoritative source every time, and to flag contradictions when the copies diverge.
The SSOT map
Each concept below has one authoritative file. Read that file first. Treat everything else as a cache that may be stale.
Versions
- Authoritative:
pyproject.toml[project] version = "..."(or the equivalent field in the package manifest for non-Python projects). - Caches:
VERSIONfile, README badges, docs footer, release notes. - Rule: quote
pyproject.toml. If asked about a cache that disagrees, report the discrepancy.
Planned work
- Authoritative:
BACKLOG.mdat the repo root. - Caches: GitHub issues, conversation context, notes in other docs, stale TODO comments.
- Rule: work that isn't in
BACKLOG.mdis not planned. Don't invent items. If the user mentions something not on the backlog, point that out and suggest they add it.
Architecture intent
- Authoritative:
docs/architecture/architecture-design.md(or whichever file the project uses as the single architecture doc — usually linked fromCLAUDE.mdorREADME.md). - Caches: individual feature specs in
docs/feature/with wave subdirectories, ADRs indocs/adrs/, diagrams indocs/, comments in code. - Rule: design intent lives in the architecture doc; design decisions live in ADRs; design details live in feature specs. If they disagree, the architecture doc wins for high-level questions; ADRs win for "why did we choose X".
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 · 31 tokens per session scan A 19293f5d5b5d
nw-buddy-ssot-knowledge is a skill published in the GitHub repository nWave-ai/nWave (610 stars, last pushed 5d ago), licensed MIT. It adds 31 tokens to every session and 1,335 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.
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add-qmd
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auto-why
A decision-tracing workflow that searches project documents such as Lore, specifications, and architecture notes. It looks for the recorded reason behind a design or implementation choice.