deliver-cv-project

deliver-cv-project is a skill for Claude Code from Borda/vision-delivery. It costs 166 tokens per session (2,028 once invoked), scanned A, original, Apache-2.0.

A delivery workflow for handing over an evaluated computer-vision model or pipeline as a tested, repeatable engineering package. A pipeline is a series of processing steps, such as reading a camera stream and producing detections.

In plain words
What is it for?
Use it to export a working model or OCR, tracking, or workflow pipeline; connect it to an app, camera, or RTSP video source; deploy it; and plan monitoring or rollback.
Why use it?
It prevents teams from calling a model ready for use without checking its version, results, commands, dependencies, data boundaries, and rollback plan.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the sentinel plugin — 13 skills, 2 agents, 1 hook, 1 MCP server shipped together

Good fit Use it to export a working model or OCR, tracking, or workflow pipeline; connect it to an app, camera, or RTSP video source; deploy it; and plan monitoring or rollback.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/borda/vision-delivery/deliver-cv-project
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 Borda/vision-delivery --skill deliver-cv-project
Clone the repo
git clone --depth 1 https://github.com/Borda/vision-delivery

Made for: Claude Code.

Or install sentinel, the plugin that ships this one along with the rest of its 13 skills, 2 agents, 1 hook, 1 MCP server.

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 deliver-cv-project

README.md
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Your own site
<a href="https://agentmods.dev/skills/borda/vision-delivery/deliver-cv-project"><img src="https://agentmods.dev/badge/skills/borda/vision-delivery/deliver-cv-project/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 deliver-cv-project

Your own site · 80×15
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Per session 166 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,028 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.
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 $0.00166 $0.02028
Opus 5 $0.00083 $0.01014
Sonnet 5 $0.00033 $0.00406
Haiku 4.5 $0.00017 $0.00203

Measured 12d ago against content hash 559174b6f401, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

deliver-cv-project 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 12d 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.

claude-skills/deliver-cv-project/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deliver a previously evaluated CV capability as a replayable artifact and an explicit engineering handoff. The exit criterion is not “deployment requested.” It is a completed delivery contract whose artifact kind, acceptance evidence, commands, dependencies, data boundary, rollback, and remaining external checks are truthful and tested.

<entry_gate>

Read existing code, model metadata, .vision-delivery/eval-*.md, ledger rows, generated artifacts, and sample outputs before asking questions.

Require:

  1. a model/pipeline identity and output schema;
  2. a machine-readable acceptance artifact frozen before the candidate result, with its acceptance_id, project-relative path, and SHA-256 digest;
  3. independent acceptance evidence for the selected version;
  4. the intended consumer and runtime environment.

When the user says a hosted model works, verify its current entity/version and evaluation through the upstream platform resources. When the model is local, inspect its weights/config and rerun the recorded acceptance command. If acceptance evidence is absent or stale for the selected version, route back to the owning modality skill; do not turn an unmeasured model into production merely because it exists.

For a novice request such as “make this useful in my factory,” ask at most three plain questions:

  • “What should happen when the model finds something?”
  • “Where do the images come from: files, an application, or a live camera?”
  • “Must data stay on this machine, or may it go to a hosted service?”

</entry_gate>

Platform execution boundary. Read ../../resources/roboflow-platform-lookup.md. Use installed official Roboflow skills or current MCP skill resources only for read-only discovery. For every platform-specific export, Workflow mutation, endpoint, device, deployment, telemetry mutation, active-learning action, paid action, or data movement, emit a sourced action brief and stop for execution through an external host/provider approval control. Sentinel never invokes those actions. Sentinel owns delivery selection, acceptance, artifact hardening, and the handoff record. If no upstream source is available, stop at a scaffold; do not guess an API, model ID, container tag, endpoint, or UI path.

Step 1 — Select the delivery contract

Classify the requested outcome:

Outcome Artifact kind Required proof
Calls a hosted provider endpoint hosted-client current upstream client shape, approved data movement, live request smoke
Runs exported weights on the user's machine local-runtime current upstream export, dependency lock, offline inference smoke
Contract only; transport/model unavailable scaffold deterministic self-test plus explicit missing live check
Managed service/device configuration provider-managed handoff plus client kind economic/spend consent, upstream status evidence, consumer smoke

Never call a hosted client local inference. Never call exported weights a local runtime until they load and infer with networking disabled.

Read the full file on GitHub · 166 lines

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. 12d ago First seen · 166 lines · 166 tokens per session scan A 559174b6f401

Subscribe to this mod's changes

deliver-cv-project is a skill published in the GitHub repository Borda/vision-delivery (4 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 166 tokens to every session and 2,028 once invoked, about $0.0008 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 2026-08-31.