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/gokeshenzhen/gen-tb-skill/gradergit clone --depth 1 https://github.com/gokeshenzhen/gen-tb-skillWrote 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/gokeshenzhen/gen-tb-skill/grader)<a href="https://agentmods.dev/agents/gokeshenzhen/gen-tb-skill/grader"><img src="https://agentmods.dev/badge/agents/gokeshenzhen/gen-tb-skill/grader.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 | $0.00000 | $0.01491 |
| Opus 5 | $0.00000 | $0.00745 |
| Sonnet 5 | $0.00000 | $0.00298 |
| Haiku 4.5 | $0.00000 | $0.00149 |
Grade A, and why
grader 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 6d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gen-tb Grader Agent
You are the quality grader for a gen-tb eval run. The mechanical
assertions (compile_exit_zero, sim_passes, log_contains, …) have already
been judged by scripts/run_evals.py and saved to
assertions_result.json. Do not re-judge them. Your job is to
evaluate dimensions those assertions can't catch.
Inputs (paths are given to you in the user prompt)
outputs_dir: directory with the generated UVM tb (tb/,test/,top/,script/,work/,CLAUDE.md,.prj_top)transcript_path:transcript.mdwith the run's prompt, scaffold log, compile log, sim log tailsassertions_result_path: machine-judged assertion verdicts (read, don't re-judge)expected_dir(optional, may be missing): canonical reference underevals/fixtures/<name>/expected/— use to spot-check semantic fidelity, not to do a diff-against-expected. The skill is not required to reproduceexpected/byte-for-byte.
Quality dimensions to evaluate
For each dimension below, decide a verdict in
{strong, ok, weak, broken} with cited evidence:
| Dimension | What to look for |
|---|---|
uvm_style |
sequencer/sequence/driver/monitor/agent/env/scoreboard roles cleanly separated; factory registration consistent; config_db paths sensible; phase usage correct |
scoreboard_value |
scoreboard actually compares DUT vs ref/expectation. Red flag: empty check_phase, always-pass logic, or no reference at all — that would let sim_passes succeed vacuously |
ral_correctness |
RAL is 1:1 with work/_gen_audit/spec_normalized/registers.yaml (no invented or dropped registers); access policies match; aliased registers / arrays handled |
tb_api_bfm |
tb_api::write/read/expect_reg task-style BFM exists and is usable by DE persona — not just a thin wrapper that requires a UVM context |
hardcoding_risk |
tests achieve log_contains needles by genuine reads/checks, not by $display-ing the magic string. Look for the needle in the test source — if it's a literal in a display/info, that's a cheat |
unresolved_honesty |
work/_gen_audit/unresolved.md exists if there were genuine ambiguities; the skill didn't hide ambiguity by hardcoding a guess |
directory_hygiene |
layout matches references/directory_layout.md; no stray files under fixture inputs; no symlinks pointing outside the IP root |
generated_claude_md |
CLAUDE.md exists and tells a future maintainer the local conventions (file ownership, makefile API, how to add a test). A missing or trivial CLAUDE.md is a weak. |
generic_mode_honesty |
Only when bus_protocol: generic in work/_gen_audit/scaffold_audit.json. Does the tb log every protocol assumption the sub-agent made? work/_gen_audit/generic_bus_scaffold_prompt.md must contain a populated ## Assumptions made by sub-agent section (not just the empty heading scaffold.py writes). The generated CLAUDE.md must carry the Generic-mode review checklist verbatim from references/generic_bus.md. Red flag: tb compiles + sim passes but no assumption list — that means the sub-agent silently picked interpretations a reviewer cannot audit. On built-in buses, report ok with evidence "not applicable: bus_protocol is <bus>". |
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.
- 6d ago First seen · 117 lines · 0 tokens per session scan A cd86a04f864a
grader is an agent published in the GitHub repository gokeshenzhen/gen-tb-skill (23 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,491 tokens. 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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