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 Nevaberry/nevaberry-plugins --skill dds-knowledge-patchgit clone --depth 1 https://github.com/Nevaberry/nevaberry-pluginsWrote 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/nevaberry/nevaberry-plugins/dds-knowledge-patch)<a href="https://agentmods.dev/skills/nevaberry/nevaberry-plugins/dds-knowledge-patch"><img src="https://agentmods.dev/badge/skills/nevaberry/nevaberry-plugins/dds-knowledge-patch/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/nevaberry/nevaberry-plugins/dds-knowledge-patch"><img src="https://agentmods.dev/badge/skills/nevaberry/nevaberry-plugins/dds-knowledge-patch.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 | $0.00012 | $0.02054 |
| Opus 5.5 | $0.00005 | $0.00822 |
| Sonnet 5.5 | $0.00002 | $0.00411 |
| Haiku 4.5 | $0.00001 | $0.00205 |
Grade A, and why
dds-knowledge-patch 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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Distribution Service (DDS) Knowledge Patch
Use this skill when designing, reviewing, debugging, or operating DDS systems, DDSI-RTPS interoperability, open DDS implementations, or ROS 2 RMW data paths. Start with portable DDS semantics, then separate endpoint matching from discovery transport and implementation-specific configuration.
Reference index
| Reference | Topics |
|---|---|
| references/core-data-and-qos.md | Reader-cache state, status conditions, requested/offered QoS, topic QoS, durability, resource limits, presentation, and partitions |
| references/rtps-discovery-and-reliability.md | GUIDs, locators, message context, sequence numbers, reliable repair, SPDP, and SEDP |
| references/implementation-configuration.md | Cyclone DDS, Fast DDS, Connext, profiles, transports, discovery modes, and cross-implementation constraints |
| references/ros2-rmw.md | ROS 2 QoS selection and optional RMW data-path capabilities |
Diagnose silence in layers
Do not treat participant discovery as proof that user endpoints can exchange data. Work through these layers in order:
- Confirm that the intended participants use the intended domain.
- Confirm SPDP participant visibility and lease health.
- Confirm SEDP publication and subscription announcements.
- Confirm that advertised user-data locators are reachable in both directions.
- Confirm exact topic, type, key, representation, and partition agreement.
- Check requested/offered QoS compatibility.
- Check reader state masks and
SampleInfo.valid_data. - Inspect resource limits, reliable repair, and writer lifetime.
A visible participant with no user match points toward endpoint discovery, advertised addressing, or matching data. A discovered endpoint pair with no delivery points toward QoS, transport reachability, reader selection, resource limits, or lifecycle behavior.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 227 lines · 12 tokens per session scan A 4de228f73e40
dds-knowledge-patch is a skill published in the GitHub repository Nevaberry/nevaberry-plugins (23 stars, last pushed 1mo ago), licensed MIT. It adds 12 tokens to every session and 2,054 once invoked, about $0.0000 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 2026-08-30.
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