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DOCA Firefly Service · nvidia | DecimalAI

devopsby nvidia

DOCA Firefly Service

nvidia/doca-firefly

Source nvidia/skills ↗License Apache-2.0

Use this skill when the user is operating the DOCA Firefly Service container on BlueField — picking the four PTP configuration axes (role / profile / domain / interface), wiring the BlueField PHC + host follower + consumer workload pairing, deciding whether PTP-grade time is even needed (vs. chrony / NTP), or debugging a Firefly deployment where PTP isn't syncing or the host clock isn't following. Trigger even when the user does not explicitly mention "DOCA Firefly" or "PTP" — typical implicit p

SkillScore91Maintained

Automatic

DevOps & SRE pack

Last verified 8/12/2026

What it changes

Passed 18 of 20 test cases with the skill, and 6 of 20 without it.

Without skill32%

With skill91%

Checks it passed that the model alone missed

States that there is no libfirefly C API surface to link against.
Includes enable_while_running and do_nothing as valid PPS_STATE values.
Specifies CONF_SYNCE_global_backend as the override environment variable name.

and 15 more in the full report

13 fixed7 passed either way2 still failing0 broke

Pass-rate lift: +59 pp
Tokens: +187%
Agent turns: 0%
Response time: -41%

Model gemini-3.6-flashMeasured 8/12/2026v120 of 22 cases passed with skill · 20 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/nvidia-doca-firefly/SKILL.md https://app.decimal.ai/s/nvidia-doca-firefly/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add nvidia-doca-firefly, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/nvidia-doca-firefly/ and pins it in .decimal/skills.lock

decimalai skills add nvidia-doca-firefly

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/nvidia-doca-firefly/SKILL.md https://app.decimal.ai/s/nvidia-doca-firefly/SKILL.md

Raw file: /s/nvidia-doca-firefly/SKILL.md ↗ · machine-readable summary at /s/nvidia-doca-firefly.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

When configuring the PTP Monitor subsystem in DOCA Firefly, what internal monitor client type option is supported for MONITOR_CLIENT_TYPE?

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies phc2sys as the internal monitor client type for the MONITOR_CLIENT_TYPE variable.	Missed	Passed

case-12 · gemini-3.6-flash · 8/12/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md314 linessingle file

DOCA Firefly Service

Subsystem inventory (Run-12 correction, verified Run-13). DOCA Firefly is NOT just "a PTP daemon." The shipped doca_firefly.yaml exposes six PTP-stack subsystems via environment variables, each with its own *_STATE, *_CONFIG_FILE, and (where relevant) *_INTERFACE / *_DEVICE knobs (the count is six because the PTP Monitor subsystem ships an internal phc2sys monitor client that is distinct from the standalone PHC2SYS subsystem — both ship in the same container image):

PTP (PTP_STATE, PTP_INTERFACE, PTP_CONFIG_FILE) — the ptp4l daemon (or master, depending on profile) that drives the BlueField PHC.

PTP Monitor (MONITOR_STATE, MONITOR_CONFIG_FILE, MONITOR_CLIENT_TYPE, MONITOR_CLIENT_PHC2SYS_INTERFACE, MONITOR_CLIENT_CONNECTION_TIMEOUT) — the monitor server + client surface; the internal phc2sys monitor client (MONITOR_CLIENT_TYPE=phc2sys) is a real subsystem inside Firefly, not just a host-side concern.

PHC2SYS (PHC2SYS_STATE, PHC2SYS_ARGS, PHC2SYS_CONFIG_FILE) — the container-internal phc2sys instance; the bundle previously framed phc2sys as host-only, which is wrong.

PPS (PPS_STATE, PPS_DEVICE) — the Pulse-Per-Second output (with the additional enable_while_running and do_nothing states beyond plain enable/disable).

SyncE (SYNCE_STATE, SYNCE_INTERFACE, SYNCE_CONFIG_FILE) — Synchronous Ethernet frequency distribution; orthogonal to PTP.

Firefly Servo (SERVO_STATE, SERVO_CONFIG_FILE) — the proprietary Firefly servo loop (alternative to the upstream linuxptp servo).

The valid PROFILE values are exactly default / media / telco-l2 / custom (per doca_firefly.yaml comments) — the agent must not invent additional values. Subsystems configured as defined_by_profile are controlled by the active PROFILE.

Track record

Benchmark

18 / 20

test cases passed, vs 6 / 20 without

Adoption

Users: 5
Times used: 113

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

nvidia / skills

skills/doca-firefly/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

DOCA Firefly Service

Track record

Benchmark

Adoption

SkillSafety

Source

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