LobeHub Alint Rule Set Maintenance
lobehub/lobehub
Maintains LobeHub's model-backed alint rule set: writing rules, removing false positives against real code, deciding warn versus error and tracking token cost.
Run the deterministic code-quality audit, turn related findings into contextual remediation groups, prepare approval-gated Asana proposals, reconcile recurring runs, or configure twice-monthly…
$ npx skills add tetherto/qvac --skill qv-quality-reporting -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tetherto/qvac qv-quality-reporting --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/qv-quality-reporting .claude/skills/qv-quality-reporting && rm -rf skills-srcUse ~/.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/
Install the "qv-quality-reporting" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-quality-reporting into .claude/skills/qv-quality-reporting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-quality-reporting", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-quality-reportingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add tetherto/qvac --skill qv-quality-reporting -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tetherto/qvac qv-quality-reporting --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/qv-quality-reporting .agents/skills/qv-quality-reporting && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "qv-quality-reporting" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-quality-reporting into .agents/skills/qv-quality-reporting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-quality-reporting", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tetherto/qvac --skill qv-quality-reporting -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tetherto/qvac qv-quality-reporting --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/qv-quality-reporting .cursor/skills/qv-quality-reporting && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "qv-quality-reporting" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-quality-reporting into .cursor/skills/qv-quality-reporting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-quality-reporting", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/tetherto/qvac.git --path .agents/skills/qv-quality-reporting--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tetherto/qvac --skill qv-quality-reporting -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tetherto/qvac qv-quality-reporting --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/qv-quality-reporting .gemini/skills/qv-quality-reporting && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "qv-quality-reporting" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-quality-reporting into .gemini/skills/qv-quality-reporting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-quality-reporting", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install tetherto/qvac qv-quality-reportingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add tetherto/qvac --skill qv-quality-reporting -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/qv-quality-reporting .github/skills/qv-quality-reporting && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "qv-quality-reporting" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-quality-reporting into .github/skills/qv-quality-reporting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-quality-reporting", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tetherto/qvac --skill qv-quality-reporting -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tetherto/qvac qv-quality-reporting --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tetherto/qvac.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/qv-quality-reporting .opencode/skills/qv-quality-reporting && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "qv-quality-reporting" agent skill from https://github.com/tetherto/qvac/tree/main/.agents/skills/qv-quality-reporting into .opencode/skills/qv-quality-reporting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qv-quality-reporting", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
qv-quality-reportingRun the deterministic code-quality audit, turn related findings into contextual remediation groups, prepare approval-gated Asana proposals, reconcile recurring runs, or configure twice-monthly…
Qv Quality Reporting is an agent skill from tetherto/qvac. Run the deterministic code-quality audit, turn related findings into contextual remediation groups, prepare approval-gated Asana proposals, reconcile recurring runs, or configure twice-monthly quality reporting.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/scheduling.md` and `references/ticket-template.md`).
It sits in Development, covering Proposals and quotes and Code quality. It works with Asana. 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.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit f874b3a. It shows what the files ask for, not the result of running them.
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.
Ships 2 files in scripts/ (JavaScript), which the agent can run.
Shell commands in SKILL.md call:
nodepnpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Qv Quality Reporting loads about 1.6k tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 760 words of instructions outside code blocks.
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.
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); the scripts in this folder are not scanned.
The full file from tetherto/qvac at commit f874b3a, republished under its Apache-2.0 licence (© tetherto). 760 words, ~1,592 tokens.
.claude/skills/qv-quality-reporting/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.Turn the repository's deterministic quality evidence into a short, actionable review. This skill owns contextual grouping and triage; it does not replace the underlying findings or mutate Asana without explicit approval.
Run pnpm quality:reporting from the repository root.
Stop if the command fails, any detector reports diagnostics, or resolutions are withheld. Explain the incomplete evidence instead of proposing progress.
Read .quality/triage.json,
references/triage-config.json, and only the
source or architecture files needed to understand the leading candidates.
Form cohesive remediation groups. Start with deterministic candidates, then:
Assign ownership and P1-P4 priority using the config plus evidence in the triage report. Never derive priority from finding count alone.
Build the review batch using references/ticket-template.md:
new, worsened changed, and resolved
lifecycle evidence before unchanged existing debt, regardless of severity.
Skip improved-only and unchanged groups unless the user asks for backlog
review..quality/proposals.json. Retain unreviewed
candidates for later pages; do not discard them.Reconcile each provisional page read-only with:
node .agents/skills/qv-quality-reporting/scripts/asana-quality.mjs \
--proposals .quality/proposals.json \
--report .quality/triage.jsonSuppress exact duplicate creations and unchanged actions, surface ambiguous matches, and show the resulting final batch in chat as a numbered, concise review. If local Asana access is unavailable, label the proposals unreconciled and do not apply them until reconciliation succeeds.
End the initial run by asking the user which proposal IDs to approve. Do not
use --apply, even if the user previously authorized analysis.
After the user explicitly approves IDs, rerun the helper for only that subset
without --apply and show the exact actions. Stop if the match is ambiguous or
the result differs materially from what the user approved. Otherwise run:
node .agents/skills/qv-quality-reporting/scripts/asana-quality.mjs \
--proposals .quality/proposals.json \
--report .quality/triage.json \
--approve <comma-separated-proposal-ids> \
--applyNever infer approval for proposals the user did not name.
For each proposal, show:
Prefer source links in chat when a concrete line is available. Keep the
deterministic finding list in .quality/report.md as the evidence trail.
State the evidence that justifies the band. If importance or ownership is uncertain, say so instead of inventing certainty.
pnpm quality:reporting compares the current findings with the previous
successful run in .quality/previous-run-baseline.json. When no snapshot exists,
the first run uses the committed audit baseline. The command advances the local
snapshot only after complete analysis and successful triage. Do not delete it
between recurring runs.
Reconcile by stable group marker before proposing work:
changes[].direction and the retained
before/after values to justify a proposed comment on its existing ticket;The helper records only the group action and deterministic evidence hash in
.quality/reporting-state.json. This ignored local checkpoint prevents the same
ticket creation, regression comment, or resolution notice from being proposed
repeatedly. It contains no Asana IDs or private links. Do not delete it between
recurring runs.
Use references/scheduling.md only when the user asks
to create or modify the twice-monthly automation.
When the user corrects ownership, importance, or group cohesion, apply that
feedback to the current review. Offer a minimal update to
references/triage-config.json only when it expresses a reusable repository
rule. Do not store task IDs, private Asana links, people, tokens, or transient
ticket state in repository files.
© 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
SKILL.md and 6 other files (scripts, references) in .agents/skills/qv-quality-reporting of tetherto/qvac.
Open the folder on GitHubat commit f874b3a
Qv Quality Reporting 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Qv Quality Reporting this skilltetherto/qvac | 683 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| LobeHub Alint Rule Set Maintenancelobehub/lobehub | 83k | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Plan ArbiterBuilderIO/skills | 4.6k | — | ~1k | Automated safety check: Pass | MIT | |
| RAG Code Reviewlyonzin/knowledge-rag | 292 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Self Reviewverl-project/verl-omni | 1.2k | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Dev Rfcpproenca/dot-skills | 215 | — | ~3.8k | Automated safety check: Pass | MIT |
lobehub/lobehub
Maintains LobeHub's model-backed alint rule set: writing rules, removing false positives against real code, deciding warn versus error and tracking token cost.
BuilderIO/skills
A skill your agent uses when asked to compare, cross-review, merge, judge, choose, or arbitrate competing plans from multiple agents such as Codex and Claude Code; when given two or more proposed…
lyonzin/knowledge-rag
When performing code review on a PR, diff, snippet, or "look at this change" request, first consult the corpus for related ADRs, coding standards, prior patterns, and similar files.
verl-project/verl-omni
Review your own verl-omni branch against the project rubric before opening or updating a PR.
pproenca/dot-skills
Create well-structured RFCs and technical proposals for software projects.
QoderAI/better-harness
Review and improve architecture specs, ADRs, plugin or agent directory proposals, and other design documents by running multiple independent AI reviewers such as Claude, Qoder, Codex, or Cursor…
tetherto/qvac
Creates a Solutions page in the QVAC documentation website from a real use case, generalizing the case into reusable guidance and registering the page in the site navigation.
tetherto/qvac
Updates the docs website after a change to the SDK or CLI. An agent skill from tetherto/qvac.
tetherto/qvac
Plan and prepare the QVAC agent-stack release cascade across @qvac/inference, @qvac/sdk, @qvac/cli, @qvac/ai-sdk-provider, @qvac/opencode-plugin, and @qvac/openclaw-plugin.
tetherto/qvac
Review C++ changes for string parameter and call-site efficiency conventions (std::stringview, std::string&&, const std::string&, const char, and TransparentStringMap lookup).
tetherto/qvac
Generate changelog entries for a target add-on package. An agent skill from tetherto/qvac.
tetherto/qvac
Generate release notes for addon packages (non-SDK inference addons, decoder, OCR).
Works with
Run the deterministic code-quality audit, turn related findings into contextual remediation groups, prepare approval-gated Asana proposals, reconcile recurring runs, or configure twice-monthly…. Qv Quality Reporting is an agent skill from tetherto/qvac. Run the deterministic code-quality audit, turn related findings into contextual remediation groups, prepare approval-gated Asana proposals, reconcile recurring runs, or configure twice-monthly quality reporting.
Qv Quality Reporting fits situations like: tasks that involve Proposals and quotes; tasks that involve Code quality.
Run `npx skills add tetherto/qvac --skill qv-quality-reporting -a claude-code`. Or copy the skill folder (.agents/skills/qv-quality-reporting in tetherto/qvac) into .claude/skills/qv-quality-reporting in your project. Claude Code loads it when a task matches its description.
Run `npx skills add tetherto/qvac --skill qv-quality-reporting -a codex`. Or copy the skill folder (.agents/skills/qv-quality-reporting in tetherto/qvac) into .agents/skills/qv-quality-reporting in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add tetherto/qvac --skill qv-quality-reporting -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-quality-reporting, .gemini/skills/qv-quality-reporting, .github/skills/qv-quality-reporting and .opencode/skills/qv-quality-reporting in your project.
Going by SKILL.md and its folder, Qv Quality Reporting needs JavaScript for the scripts in its folder and the command-line tools its instructions call (node and pnpm). Our summary lists: Node.js.
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.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Qv Quality Reporting 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.
About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Qv Quality Reporting: LobeHub Alint Rule Set Maintenance (lobehub/lobehub, 83k stars), Plan Arbiter (BuilderIO/skills, 4.6k stars), RAG Code Review (lyonzin/knowledge-rag, 292 stars) and Self Review (verl-project/verl-omni, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
tetherto (a GitHub organization) maintains it in tetherto/qvac, which has 683 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on October 9, 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.