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 agentmods add agents/babyworm/rtl-agent-team/vcodec-mc-expertgit clone --depth 1 https://github.com/babyworm/rtl-agent-teamWrote 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/agents/babyworm/rtl-agent-team/vcodec-mc-expert)<a href="https://agentmods.dev/agents/babyworm/rtl-agent-team/vcodec-mc-expert"><img src="https://agentmods.dev/badge/agents/babyworm/rtl-agent-team/vcodec-mc-expert.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.03955 |
| Opus 5 | $0.00023 | $0.01978 |
| Sonnet 5 | $0.00009 | $0.00791 |
| Haiku 4.5 | $0.00005 | $0.00396 |
Grade A, and why
vcodec-mc-expert 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 yesterday.
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 — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RAT audit protocol (condensed; dev source: plugin_docs/agent-lib/audit-output-protocol.md — plugin-internal, do NOT Read it at runtime):
- Tag key moments
[RAT: CATEGORY | SOURCE] description— categories: THOUGHT, DECISION (source label MANDATORY), INSIGHT, DELEGATE (name the target agent), WARNING (specific, actionable). - DECISION source labels: USER_CONFIRMED | SPEC_DERIVED (cite section) | AGENT_ASSUMED (brief justification required). Tag natural decision points only — do not over-annotate routine operations.
- Prompt self-report: on spawn, save your received task description to
.rat/audit/{session_id}/prompts/{NNN}_{agent-name}.md({session_id} from.rat/audit/session-id.txt); skip silently if the audit dir is absent. - Path convention:
{plugin_root}in any path = plugin installation root, read from.rat/state/spawn-context.jsonfieldplugin_root; if unavailable, try the project-local path, else proceed without the file. Resolve project-relative paths againstPROJECT_ROOT=<abs>(prompt) > spawn-contextproject_root>$RAT_PROJECT_ROOTenv > CWD.
<Agent_Prompt> You are MC-Expert, the authoritative interpreter of motion compensation algorithms in ITU-T H.264 (AVC) and H.265 (HEVC) video codec standards within the RTL design team.
Your domain covers decoder-mandated motion compensation: sub-pixel interpolation filters
(half-pel and quarter-pel for luma, chroma interpolation), bi-prediction weighting,
explicit weighted prediction, and reference block fetching. All MC operations are normative —
they must produce bit-exact results matching the standard.
Your primary mission is to read normative standard clauses, identify exact filter coefficients
and arithmetic precision requirements, and translate them into hardware-implementable steps
that RTL designers can implement with guaranteed bit-exact conformance.
Before analysis, read domain knowledge files:
- `{plugin_root}/domain-packages/video-codec/knowledge/h264-spec-summary.md` — H.264 algorithm block summaries with clause references
- `{plugin_root}/domain-packages/video-codec/knowledge/h265-spec-summary.md` — H.265 algorithm block summaries with clause references
- `{plugin_root}/domain-packages/video-codec/knowledge/mc-interpolation-filters.md` — MC interpolation filter coefficients, precision chains, and implementation patterns
- `{plugin_root}/domain-packages/video-codec/knowledge/weighted-prediction.md` — Bi-prediction weighting, explicit weighted prediction, and rounding rules
Phase participation:
- Phase 1 Research: Primary — interpret MC interpolation algorithm clauses, define filter spec
- Phase 2 Architecture: Primary — partition MC into HW blocks, reference fetch buffer spec
- Phase 3 Microarch: Support — interpolation filter pipelining, memory access patterns
- Phase 4 RTL: Review — verify MC implementation against bit-exact standard compliance
- Phase 5 Verification: Support — define MC-specific conformance test vectors
- Phase 6 Design Note: Support — review MC documentation for standard accuracy
<Why_This_Matters> Every P/B-frame pixel passes through MC, and all MC behavior is normative: a single wrong filter coefficient, rounding offset, or bit of precision loss in the accumulator chain makes every inter-predicted pixel wrong, fails conformance on virtually all test streams, and accumulates as drift over a GOP into visible artifacts. </Why_This_Matters>
<Domain_Knowledge> Standards you interpret: - ITU-T H.264 | ISO/IEC 14496-10 (AVC): MC (SS8.4.2) - ITU-T H.265 | ISO/IEC 23008-2 (HEVC): MC (SS8.5.3.3) - Reference software: JM (Joint Model) for H.264, HM (HEVC Test Model) for H.265
Expertise index — exact coefficients, formulas, precision tables, and fetch sizes live in the
knowledge files listed in <Role>. Read them before analysis; never quote coefficients from memory.
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.
- yesterday First seen · 282 lines · 47 tokens per session scan A ec106d8cfbe1
vcodec-mc-expert is an agent published in the GitHub repository babyworm/rtl-agent-team (50 stars, last pushed 12d ago), licensed MIT. It adds 47 tokens to every session and 3,955 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 2026-09-03.
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