doc-sync

doc-sync is a skill for Codex from NVIDIA/TensorRT-Model-Connect. It costs 30 tokens per session (386 once invoked), scanned A, original, Apache-2.0.

A documentation maintenance scanner that checks whether project documentation still matches the code and the current GitHub main branch.

In plain words
What is it for?
It helps review website guides, API references, architecture records, commands, extension guides, redirects, and traceability information, then prepare focused GitHub pull requests.
Why use it?
Documentation can become inaccurate as software changes. This helps find that drift while keeping confirmed facts separate from claims that have not been tested or proven.

Skill for Codex ✓ vendor

Written for Codex: agents/openai.yaml present.

Good fit It helps review website guides, API references, architecture records, commands, extension guides, redirects, and traceability information, then prepare focused GitHub pull requests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nvidia/tensorrt-model-connect/doc-sync
About the project

NVIDIA/TensorRT-Model-Connect is a collection of C++ reference implementations for deploying supported Hugging Face models with NVIDIA TensorRT, a system that runs trained models to produce inference results. It is for developers who want to build and run supported models or evaluate model integrations through TensorRT. The catalogue entries provide skills and instructions for using this model deployment workflow.

NVIDIA/TensorRT-Model-Connect · 289 stars · on GitHub · nvidia.github.io

Install

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.

Any agent
npx skills add NVIDIA/TensorRT-Model-Connect --skill doc-sync
Clone the repo
git clone --depth 1 https://github.com/NVIDIA/TensorRT-Model-Connect

Made for: Codex.

Wrote 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.

agentmods badge for doc-sync

README.md
[![agentmods](https://agentmods.dev/badge/skills/nvidia/tensorrt-model-connect/doc-sync/github.svg)](https://agentmods.dev/skills/nvidia/tensorrt-model-connect/doc-sync)
Your own site
<a href="https://agentmods.dev/skills/nvidia/tensorrt-model-connect/doc-sync"><img src="https://agentmods.dev/badge/skills/nvidia/tensorrt-model-connect/doc-sync/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.

agentmods 80×15 button for doc-sync

Your own site · 80×15
<a href="https://agentmods.dev/skills/nvidia/tensorrt-model-connect/doc-sync"><img src="https://agentmods.dev/badge/skills/nvidia/tensorrt-model-connect/doc-sync.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 386 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.00386
Opus 5.5 $0.00012 $0.00154
Sonnet 5.5 $0.00006 $0.00077
Haiku 4.5 $0.00003 $0.00039

Measured 2mo ago against content hash aa41a67ef18d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

doc-sync 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 2mo 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.

plugins/trtmc-agent-skills/skills/doc-sync/SKILL.md · 46 lines

What it actually says

Synchronize Documentation

Treat implementation, tests, executable help, and family manifests as the source of truth. Update only documentation affected by the requested change.

Route the change

  • Public build behavior: check core/builder/ and the Python API docs.
  • Native user behavior: check core/runtime/include/trtmc/, CLI parsing, and the C++ API docs.
  • Model behavior: check only the owning families/<family>/ implementation, manifests, thresholds, and model recipe.
  • Developer workflow: check README.md, CONTRIBUTING.md, and the relevant page under website/docs/.
  • Benchmark behavior: check apps/benchmark/ and its performance README.
  • Repo-local skills: check plugins/trtmc-agent-skills/skills/.

Verify every changed path, symbol, option, and command locally when practical. If hardware or dependencies prevent execution, inspect the consuming code and state that boundary explicitly. Do not turn source presence into a runtime, parity, performance, or qualification claim.

Keep one canonical explanation and link to it instead of copying large policy sections. Remove stale links and generated counts rather than replacing them with unverified values.

Validate

git diff --check
PYTHONPATH=core/builder:apps/benchmark:. python3 -m tools.model_ci validate
npm --prefix website run test:model-support
npm --prefix website run build

Run additional focused tests for any documented command or API that changed. Summarize corrected claims, validation actually run, and remaining evidence boundaries. Publish or open a pull request only when the user requested it.

Files

What ships with it

1 file 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.

Changes

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.

  1. 2mo ago Changed · -326 lines · -35 tokens per session aa41a67ef18d
  2. 2mo ago First seen · 372 lines · 65 tokens per session scan A 77a27746dd27

Subscribe to this mod's changes

doc-sync is a skill published in the GitHub repository NVIDIA/TensorRT-Model-Connect (289 stars, last pushed yesterday), licensed Apache-2.0. It adds 30 tokens to every session and 386 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

Related

doc-sync compared with skills from other repositories

doc-sync next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
doc-syncNVIDIA/TensorRT-Model-ConnectSkill289yesterdayApache-2.0A30Codex
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zoom-meeting-sdk-windowsanthropics/knowledge-work-pluginsSkill35k2d agoApache-2.0A59Claude Code
scope-creep-detectorShubhamsaboo/awesome-llm-appsSkill144kyesterdayApache-2.0A98Claude Code, Codex
mem0-test-integrationmem0ai/mem0Skill68k2d agoApache-2.0A207Claude Code, Codex
prowler-changelogprowler-cloud/prowlerSkill15kyesterdayApache-2.0A92Claude Code
groq-inferencesynthetic-sciences/openscienceSkill4.3k2d agoApache-2.0A77Claude Code, Codex