doca-pcc-counters SKILL.md skillA

doca-pcc-counters from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nvidia/skills/doca-pcc-counters@git:20261022.a4cf47e

Pins git:20261022.a4cf47e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nvidia/skills
Path
skills/doca-pcc-counters/SKILL.md
Versions recorded
4
Latest version
git:20261022.a4cf47e, committed Oct 22, 2026
First version recorded
Jul 17, 2026
Size
12,054 bytes
Repository stars
3,871
License
Apache-2.0

Use this skill when the user is invoking the DOCA PCC Counters tool — the `pcc_counters.sh` bash script under the DOCA tools directory — to arm and read the fixed firmware/hardware PCC (Programmable Congestion Control) diagnostic counters (CNP, RTT, WRED-drop, etc.) on a ConnectX / BlueField device via mst + the mlx5 debugfs `diag_cnt` interface. The script takes two positional args — `set | query` and an mst device path — with no `--help` or subcommands. Trigger even without "pcc_counters.sh…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# DOCA PCC Counters (`pcc_counters.sh`)

## Examples

- **"How do I read the PCC diagnostic counters on this device?"** —
  this is in scope. Arm then query; do not treat this as PCC
  algorithm tuning.
- **"The script printed ERROR: Bad Device."** — resolve the mst
  path before assuming firmware is broken.

## Instructions

Follow Loading order below. Open the tasks companion for run /
debug. Open the capabilities companion for the fixed counter set.
Do not open every companion file.

**Where to start:** This is a tool skill for invoking
`pcc_counters.sh` — a small bash script that arms and reads the
device's fixed set of firmware / hardware **PCC diagnostic
counters** (CNP count, RTT-perf, WRED-drop, RTT-gen, handled
events) through the mlx5 debugfs `diag_cnt` interface. Open
the tasks companion and start at `## run` for
the canonical `set`-then-`query` sequence, or
`## debug` when the user reports
*"`ERROR: Bad Device`"*, *"counter stuck at zero"*, or *"the
dump is empty"*. Open the capabilities companion when
the question is *which counters the script reports and how it
reaches them*. If the user has not installed DOCA / MFT yet,
route to `doca-setup/SKILL.md` first.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nvidia/skills/doca-pcc-counters@sha256:63c88427fb4822c1

The line at the top of this page pins the label git:20261022.a4cf47e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_alsiib2l2gapeijq.svg)](https://markdownregistry.com/a/art_alsiib2l2gapeijq)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Jul 17, 2026 and Oct 22, 2026, about one every 32 days.

versioncommittedcommitsizeaudit
git:20261022.a4cf47e latest2026-10-22 a4cf47e 12,054 BA view · diff
git:20261014.bbb601a2026-10-14 bbb601a 12,446 BA view · diff
git:20260727.a5736e42026-07-27 a5736e4 12,166 BA view · diff
git:20260717.f64fa0e2026-07-17 f64fa0e 12,235 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12054 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_alsiib2l2gapeijq
GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/doca-pcc-counters
GET https://markdownregistry.com/api/v1/blob/63c88427fb4822c17d986822dd59901753fbee359bf13413df13a48c0807a975

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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