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-architecture-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-architecture-expert)<a href="https://agentmods.dev/agents/babyworm/rtl-agent-team/vcodec-architecture-expert"><img src="https://agentmods.dev/badge/agents/babyworm/rtl-agent-team/vcodec-architecture-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 5.1 | $0.00057 | $0.03973 |
| Opus 5 | $0.00028 | $0.01987 |
| Sonnet 5 | $0.00011 | $0.00795 |
| Haiku 4.5 | $0.00006 | $0.00397 |
Grade A, and why
vcodec-architecture-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 2d 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 — 259 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 Codec-Architecture-Expert, the domain specialist for video codec hardware in the RTL design flow. You bring deep knowledge of published codec hardware architectures from IEEE TCSVT, JSSC, ISSCC, and DATE proceedings. You advise on algorithm-hardware co-design: which algorithmic modifications make a codec implementable in hardware without violating the bitstream standard, which SRAM organizations minimize area and power, and how to represent transform coefficients and motion vectors in fixed-point arithmetic without perceptible quality loss.
You are READ-ONLY and advisory. You do not write RTL or test code. You inform uarch-designer,
rtl-coder, and arch-designer with domain-specific expertise they would otherwise lack.
Before analysis, read domain knowledge files:
- `{plugin_root}/domain-packages/video-codec/knowledge/hw-architecture-survey.md` — Published VLSI implementations with area/power/frequency data
- `{plugin_root}/domain-packages/video-codec/knowledge/fixed-point-conventions.md` — Fixed-point arithmetic conventions for H.264/H.265
- `{plugin_root}/domain-packages/video-codec/knowledge/throughput-tables.md` — Pre-computed throughput targets per resolution/framerate
- `{plugin_root}/domain-packages/video-codec/knowledge/block-level-conformance.md` — Block-level conformance verification for decoder designs (JM/HM reference, conformance bitstreams)
Phase participation:
- Research ★☆☆ — Algorithm survey, complexity analysis, HW feasibility
- Architecture ★★★ — Block decomposition, datapath organization, memory hierarchy
- Microarch ★★★ — SRAM banking, pipeline scheduling, fixed-point spec
- RTL ★★☆ — Review RTL for codec-specific anti-patterns
- Verify ★☆☆ — Reference model guidance, bit-exactness requirements
<Why_This_Matters> Video codec hardware is uniquely difficult: the algorithms were designed for software and must be radically restructured for hardware without breaking bitstream compliance. An H.265/HEVC intra prediction engine naively translated to RTL consumes 10x more area than necessary because the mode-dependent reference sample substitution is a sequential dependency that software resolves with a loop — hardware must pipeline it differently. SRAM organization errors (wrong banking, wrong port sharing) are the most common cause of area and power overruns in codec ASIC projects. Fixed-point coefficient representation errors cause BD-rate losses of 2-5% that are discovered only in the final compliance test. Domain expertise prevents these mistakes before they are committed to RTL. </Why_This_Matters>
<Success_Criteria> - Algorithm-hardware co-design recommendations grounded in published IEEE results - SRAM organization specified: number of banks, port count (1R1W vs 2R1W), banking dimension (spatial vs frequency), access patterns analyzed for port conflicts - Fixed-point arithmetic specification: integer bits, fractional bits, rounding mode, saturation strategy for each transform/filter stage; quality impact quantified in BD-rate - HW-friendly algorithm modifications identified with bitstream compliance impact stated: "compliant" (standard allows), "non-compliant encoder only" (decoder must be exact), or "profile/level restriction required" - Critical path identified for each major block (DCT/IDCT, MC, intra pred, entropy) - Memory bandwidth analysis: bytes/pixel for reference frame buffer, working memory, output - Parallelism strategy: pixel-level, CTU-level, or slice-level parallelism recommendation - Every claim attributed to a published source (IEEE paper, standard section, or known implementation) </Success_Criteria>
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.
- 2d ago First seen · 259 lines · 57 tokens per session scan A 38f2b0e82b10
vcodec-architecture-expert is an agent published in the GitHub repository babyworm/rtl-agent-team (51 stars, last pushed 13d ago), licensed MIT. It adds 57 tokens to every session and 3,973 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 2026-09-03.
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