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 zhaixin244-wq/fnw --skill vf-pipelinegit clone --depth 1 https://github.com/zhaixin244-wq/fnwWrote 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/zhaixin244-wq/fnw/vf-pipeline)<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/vf-pipeline"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/vf-pipeline/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/zhaixin244-wq/fnw/vf-pipeline"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/vf-pipeline.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00055 | $0.02867 |
| Opus 5 | $0.00028 | $0.01434 |
| Sonnet 5 | $0.00011 | $0.00573 |
| Haiku 4.5 | $0.00006 | $0.00287 |
Grade A, and why
vf-pipeline 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 9d 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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RTL Pipeline Orchestrator
This skill IS the plan �� execute each stage immediately using Read/Write/Bash tools. Do NOT plan before executing.
Project directory path: $ARGUMENTS
If $ARGUMENTS is empty, ask the user for it.
Step 0: Initialization
Execute immediately:
PROJECT_DIR="$ARGUMENTS"
ls -la "$PROJECT_DIR/requirement.md" || { echo "ERROR: requirement.md not found"; exit 1; }
cd "$PROJECT_DIR" && mkdir -p workspace/docs workspace/rtl workspace/tb workspace/sim workspace/synth .veriflow logs
# Report available input files
echo "[INPUT] requirement.md: $(test -f requirement.md && echo YES || echo NO)"
echo "[INPUT] constraints.md: $(test -f constraints.md && echo YES || echo NO)"
echo "[INPUT] design_intent.md: $(test -f design_intent.md && echo YES || echo NO)"
echo "[INPUT] context/: $(ls context/*.md 2>/dev/null | wc -l) file(s)"
ls context/*.md 2>/dev/null || true
# Discover Python
PYTHON_EXE=$(which python3 2>/dev/null || which python 2>/dev/null || true)
if [ -z "$PYTHON_EXE" ]; then
PYTHON_EXE=$(ls /c/Python*/python.exe /c/Users/*/AppData/Local/Programs/Python/*/python.exe 2>/dev/null | head -1)
fi
echo "[ENV] Python: ${PYTHON_EXE:-NOT FOUND}"
# Discover EDA tools �� must include bin + lib + lib/ivl (iverilog needs ivlpp.exe and ivl.exe)
EDA_BIN=""
EDA_LIB=""
for base in /c/oss-cad-suite "/c/Program Files/iverilog" "/c/Program Files (x86)/iverilog"; do
if [ -d "$base/bin" ]; then
EDA_BIN="$base/bin"
[ -d "$base/lib" ] && EDA_LIB="$base/lib"
[ -d "$base/lib/ivl" ] && EDA_LIB="$base/lib:$base/lib/ivl"
break
fi
done
# Save env to file so every subsequent Bash call can source it
cat > "$PROJECT_DIR/.veriflow/eda_env.sh" << ENVEOF
export PYTHON_EXE="$PYTHON_EXE"
export EDA_BIN="$EDA_BIN"
export EDA_LIB="$EDA_LIB"
export PATH="$EDA_BIN:$EDA_LIB:\$PATH"
ENVEOF
echo "[ENV] Saved EDA env to .veriflow/eda_env.sh"
echo "[ENV] EDA_BIN=$EDA_BIN EDA_LIB=$EDA_LIB"
# Verify tools
source "$PROJECT_DIR/.veriflow/eda_env.sh"
which yosys iverilog vvp 2>/dev/null || echo "[WARN] Some EDA tools not found"
# Quick smoke test �� exit 127 means iverilog can't find its sub-tools
iverilog -V 2>&1 | head -1 || echo "[WARN] iverilog smoke test failed �� check EDA_LIB path"
# Check existing state
if [ -f "$PROJECT_DIR/.veriflow/pipeline_state.json" ]; then
echo "[STATUS] Existing state �� resume from next incomplete stage:"
cat "$PROJECT_DIR/.veriflow/pipeline_state.json"
else
echo "[STATUS] New project, starting from Stage 1."
fi
What ships with it
9 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.
- 9d ago First seen · 243 lines · 55 tokens per session scan A 16e252bbcd01
vf-pipeline is a skill published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It adds 55 tokens to every session and 2,867 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.
Other skills, from other repositories
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
jetson-diagnostic
Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.
doca-socket-relay
Use this skill when the operator is driving the DOCA Socket Relay to bridge a socket-oriented host application onto a BlueField DPU peer without rewriting it — picking the deployment shape (in-process, sidecar, or BlueField service container), configuring the host-side socket and the DPU-side forwarding endpoint…
offensive-z-wave
Z-Wave attack methodology — sniffing with Z-Force / EZ-Wave / RTL-SDR + ZniffMobile, S0 (legacy) network-key derivation flaw and key reuse, S2 (modern) ECDH commissioning analysis, replay/injection on unauthenticated nodes, default-key brute-force on test deployments, and home-automation hub pivots. Use when targeting…
hsb-flash
Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must…
jetson-validate-image
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.