Agent skill

Qv Qip Review

by tetherto in tetherto/qvac

Reviews QIP drafts for approval readiness, architectural fit, decision clarity, material trade-offs, and appropriate stakeholder detail.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Qv Qip Review

skills CLI
$ npx skills add tetherto/qvac --skill qv-qip-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tetherto/qvac qv-qip-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/qv-qip-review .claude/skills/qv-qip-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
qv-qip-review
GitHub stars
685
Token cost
~1.1k tokens
SKILL.md length
536 words
Files
1
Skills in repo
50
Repo updated
First seen
Licence
Apache-2.0

At a glance

Reviews QIP drafts for approval readiness, architectural fit, decision clarity, material trade-offs, and appropriate stakeholder detail.

  • Works in 3 steps: Read… → Read docs/architecture/PRINCIPLES.md. → When the proposal changes runtime,…
  • Reviewing a QIP
  • SKILL.md covers Ground the review, Review criteria and Findings and severity
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Qv Qip Review is an agent skill from tetherto/qvac. Reviews QIP drafts for approval readiness, architectural fit, decision clarity, material trade-offs, and appropriate stakeholder detail. Use when reviewing a QIP or invoking /qv-qip-review.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. The repository describes itself as: Open-source local AI SDK - run AI on-device with no cloud, no API keys. Supports GGUF, RAG, image, music, and video generation, speech-to-text, P2P inference, and more… The licence is Apache-2.0.

When your agent uses it

  • Reviewing a QIP
  • Invoking /qv-qip-review

Example prompts

  • “Use the qv-qip-review skill to review QIP drafts for approval readiness, architectural fit, decision clarity, material trade-offs, and appropriate…”
  • “/qv-qip-review”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Read ../qv-qip-create/references/qip-template.md.
  2. Read docs/architecture/PRINCIPLES.md.
  3. When the proposal changes runtime, package, plugin, registry, storage, transport, security, public API, release, or deployment boundaries…

What it can do on your machine

Read from SKILL.md and the folder at commit 673ea94. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Qv Qip Review loads about 1.1k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 536 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from tetherto/qvac at commit 673ea94, republished under its Apache-2.0 licence (© tetherto). 536 words, ~1,130 tokens.

Download SKILL.mdSave it as .claude/skills/qv-qip-review/SKILL.md (or your agent's skills folder).
name
qv-qip-review
description
Reviews QIP drafts for approval readiness, architectural fit, decision clarity, material trade-offs, and appropriate stakeholder detail. Use when reviewing a QIP or invoking /qv-qip-review.

QIP Proposal Review

Review a QIP without substituting for its human approvers. Use qv-qip-create for first drafts and qv-qip-triage to decide whether a QIP is needed.

Ground the review

  1. Read ../qv-qip-create/references/qip-template.md.
  2. Read docs/architecture/PRINCIPLES.md.
  3. When the proposal changes runtime, package, plugin, registry, storage, transport, security, public API, release, or deployment boundaries, check its system fit against docs/architecture/ARCHITECTURE.md and the relevant current repository sources.

Do not infer approval, commitments, current behavior, or implementation feasibility without evidence. Treat principle conflicts as review findings, not automatic rejection, unless the proposal hides or misrepresents the conflict.

Review criteria

Decision readiness
  • Problem explains what matters and why a decision is needed now.
  • Solution recommends one direction and states the exact approval ask.
  • Architectural responsibilities, boundaries, interactions, and rationale are concrete enough to evaluate.
  • Obvious alternatives are addressed briefly, with supporting research summarized in the Appendix when needed.
  • Consequences state positive impact and the trade-offs reviewers must accept.
  • Decision-relevant trust-boundary, compatibility, migration, and release effects are explicit.
  • Likely scope misunderstandings are excluded explicitly, and the approvers table is preserved.

An unclear or absent recommended direction or approval ask is a blocker. For another gap, first state how its answer could materially change the recommendation or why approval without it would be irresponsible. Explicitly deferred implementation detail is acceptable when the architectural direction, boundaries, responsibilities, and accepted trade-offs remain clear; require production-level detail only when the decision or its feasibility and risk claims depend on it. Do not use length or a preference for greater specificity as a proxy for readiness.

Decision-brief quality
  • Use 600-900 words as the target and 1,200 words as a soft ceiling for the core proposal, excluding the approvers table and Appendix.
  • Length above the ceiling is a suggested edit, not a blocker by itself.
  • Flag specific passages when repetition or implementation detail buries the problem, recommended direction, architectural boundary, or accepted trade-offs.
  • Recommend removing file lists and moving useful APIs, protocols, execution steps, test plans, rollout detail, failure-mode analysis, and large comparisons to the Appendix unless they directly affect approval.
  • Check that the Appendix is relevant and organized, research has been synthesized rather than reproduced, external artifacts explain their relevance, principle references explain a concrete fit or conflict, and images are linked rather than embedded as base64 data.
Show full SKILL.md (158 more words)Show less
Consultation

If consultation context is provided, check coverage of the owning team lead, Lead / Architect, and any relevant cross-cutting expertise. The consultation note belongs outside the Canvas-ready QIP, so its absence from the QIP is not a finding. Advice is direction plus reasoning, not a vote.

Findings and severity

Separate:

  • Blockers: the decision cannot responsibly be approved. State the approval risk before using this category; examples include no clear approval ask, an unsupported material claim, an unresolved architectural contradiction, or missing impact that could materially change the decision.
  • Clarifying questions: answers would improve confidence but are not shown to prevent responsible approval or require restructuring the proposal.
  • Suggested edits: concision, organization, Appendix moves, and other improvements that do not block the decision.

Lead with findings ordered by approval risk and use line-specific references when possible:

markdown
## Blockers
- ...

## Clarifying questions
- ...

## Suggested edits
- ...

## Approval readiness
Ready | Ready with minor edits | Not ready

## Slack comment
<optional concise paste-ready comment if requested>

Say explicitly when there are no blockers. Do not rewrite the whole QIP unless asked. Keep an optional Slack comment under one screen.

© tetherto, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/qv-qip-review of tetherto/qvac.

Open the folder on GitHubat commit 673ea94

Compare with similar skills

Qv Qip Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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1passwordtrpc-group/trpc-agent-go1.9k14 repos~656Automated safety check: PassApache-2.0

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Questions about Qv Qip Review

What does Qv Qip Review do?

Reviews QIP drafts for approval readiness, architectural fit, decision clarity, material trade-offs, and appropriate stakeholder detail. Qv Qip Review is an agent skill from tetherto/qvac. Reviews QIP drafts for approval readiness, architectural fit, decision clarity, material trade-offs, and appropriate stakeholder detail.

When should I use Qv Qip Review?

Qv Qip Review fits situations like: reviewing a QIP; invoking /qv-qip-review.

How do I install Qv Qip Review in Claude Code?

Run `npx skills add tetherto/qvac --skill qv-qip-review -a claude-code`. Or copy the skill folder (.agents/skills/qv-qip-review in tetherto/qvac) into .claude/skills/qv-qip-review in your project. Claude Code loads it when a task matches its description.

How do I install Qv Qip Review in Codex?

Run `npx skills add tetherto/qvac --skill qv-qip-review -a codex`. Or copy the skill folder (.agents/skills/qv-qip-review in tetherto/qvac) into .agents/skills/qv-qip-review in your project. Codex loads it when a task matches its description.

Can I use Qv Qip Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tetherto/qvac --skill qv-qip-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qv-qip-review, .gemini/skills/qv-qip-review, .github/skills/qv-qip-review and .opencode/skills/qv-qip-review in your project.

What does Qv Qip Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Qv Qip Review is instructions for the agent only.

Does Qv Qip Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Qv Qip Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Qv Qip Review use?

Qv Qip Review is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Qv Qip Review use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Qv Qip Review?

Skills that share tags, products or a category with Qv Qip Review: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qv Qip Review?

tetherto (a GitHub organization) maintains it in tetherto/qvac, which has 685 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on October 10, 2026.

Source: tetherto/qvac on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.