Test Scenario
Owl-Listener/designer-skills
Write realistic usability task scenarios with success criteria and facilitation notes.
Verifies a generated or refreshed repo-specific Agent Skill by creating assertion-backed usability test cases, running content-level self-refine, checking backend-classified native repo…
$ npx skills add VectorSpaceLab/AREX-Skill --skill verify-repo-skill -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill verify-repo-skill --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli/packages/coding-agent/src/disco/skills/verify-repo-skill .claude/skills/verify-repo-skill && 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 "verify-repo-skill" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/cli/packages/coding-agent/src/disco/skills/verify-repo-skill into .claude/skills/verify-repo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-repo-skill", 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/VectorSpaceLab/AREX-Skill/tree/main/cli/packages/coding-agent/src/disco/skills/verify-repo-skillType 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 VectorSpaceLab/AREX-Skill --skill verify-repo-skill -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill verify-repo-skill --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cli/packages/coding-agent/src/disco/skills/verify-repo-skill .agents/skills/verify-repo-skill && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "verify-repo-skill" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/cli/packages/coding-agent/src/disco/skills/verify-repo-skill into .agents/skills/verify-repo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-repo-skill", 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 VectorSpaceLab/AREX-Skill --skill verify-repo-skill -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill verify-repo-skill --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cli/packages/coding-agent/src/disco/skills/verify-repo-skill .cursor/skills/verify-repo-skill && 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 "verify-repo-skill" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/cli/packages/coding-agent/src/disco/skills/verify-repo-skill into .cursor/skills/verify-repo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-repo-skill", 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/VectorSpaceLab/AREX-Skill.git --path cli/packages/coding-agent/src/disco/skills/verify-repo-skill--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 VectorSpaceLab/AREX-Skill --skill verify-repo-skill -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill verify-repo-skill --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cli/packages/coding-agent/src/disco/skills/verify-repo-skill .gemini/skills/verify-repo-skill && 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 "verify-repo-skill" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/cli/packages/coding-agent/src/disco/skills/verify-repo-skill into .gemini/skills/verify-repo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-repo-skill", 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 VectorSpaceLab/AREX-Skill verify-repo-skillInstalls 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 VectorSpaceLab/AREX-Skill --skill verify-repo-skill -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/cli/packages/coding-agent/src/disco/skills/verify-repo-skill .github/skills/verify-repo-skill && 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 "verify-repo-skill" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/cli/packages/coding-agent/src/disco/skills/verify-repo-skill into .github/skills/verify-repo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-repo-skill", 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 VectorSpaceLab/AREX-Skill --skill verify-repo-skill -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill verify-repo-skill --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cli/packages/coding-agent/src/disco/skills/verify-repo-skill .opencode/skills/verify-repo-skill && 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 "verify-repo-skill" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/cli/packages/coding-agent/src/disco/skills/verify-repo-skill into .opencode/skills/verify-repo-skill/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "verify-repo-skill", 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.
verify-repo-skillVerifies a generated or refreshed repo-specific Agent Skill by creating assertion-backed usability test cases, running content-level self-refine, checking backend-classified native repo…
Verify Repo Skill is an agent skill from VectorSpaceLab/AREX-Skill. Verifies a generated or refreshed repo-specific Agent Skill by creating assertion-backed usability test cases, running content-level self-refine, checking backend-classified native repo examples/tests against the prepared CPU/GPU environment plan, enforcing required-backend and import gates, checking static quality, and producing final coverage and handoff artifacts. Use this after create-repo-skill, refresh-repo-skill, or extend-repo-skill finishes an integrated runtime skill draft, and whenever a repo skill…
Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 13 other files, including scripts and reference files (for example `references/evaluation-verification-and-handoff.md`, `references/usability-test-cases.md` and `scripts/run_native_cases.py`).
It sits in Testing & QA, covering Test generation and UX design. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is Apache-2.0.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit ac3fe1a. 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 9 files in scripts/ (JavaScript and Python), which the agent can run.
Shell commands in SKILL.md call:
nodeFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Verify Repo Skill loads about 4.8k tokens when it runs, and up to ~20k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 2,271 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 VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its Apache-2.0 licence (© VectorSpaceLab). 2,271 words, ~4,801 tokens.
.claude/skills/verify-repo-skill/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.Use this skill after a generated, refreshed, or extended repo skill draft exists. It owns usability test case generation, content-level self-refine, native repo test/example verification after whole-skill integration, static verification, final coverage report creation, review-package creation, and final verification handoff. Treat required GPU/accelerator runtime evidence as a verification gate: synthetic assertions may test guidance and failure handling, but cannot prove that the backend actually runs.
This skill does not create the repo skill from source evidence. It verifies and
refines an already-created runtime skill directory using the original creation
context, evidence notes, coverage/depth matrix, planned sub-skill structure, and
review rubrics when available. When this skill is called after
create-repo-skill, the runtime skill should already include all
sub-skills, root routing, repo-level references/scripts, repo provenance, and a
main-agent integration pass over parallel subagent outputs.
Resolve these before writing verification artifacts:
SKILL.md.
Keep this verified runtime directory outside <agent-dir>/skills/repositories/; if the only
starting copy is live, make an external working copy before refining it.<repository-path>/skills/tests/<skill-id>/.
Write concrete test cases under test-cases/ and reports or review
documents under reports/.ok/partial/failed readiness and
every prepared backend prefix, or public package facts used by the skill.importAfterVerification: ask; use auto-import only when the original user
request explicitly delegated the final import decision.Do not write check-only artifacts into the runtime skill directory. Keep
usability cases under test-cases/ in the review/test artifact directory, and
keep evals, verification reports, human-review notes, publication checklists,
prompt samples, staleness audits, benchmark notes, and final reports under
reports/ in that artifact directory.
Read these references as the workflow reaches each stage:
~/.disco/agent/skills/repositories/repo-skills/, rebuilds the sibling live
repo-skills-router, and rolls back both on failure.license field on every root and sub-skill and checks
that the complete repo skill tree uses one value.Use todo tracking or a visible checklist so the user can follow verification progress.
Verification setup:
Confirm the runtime skill directory, artifact directory, source repo context,
creation evidence, planned sub-skill structure, coverage/depth matrix, and
any user-specified verification focus. Inspect the generated root
SKILL.md, sub-skills, references, scripts, repo provenance, integration
notes, native test/example candidate map, and long-tail gap register before
writing verification artifacts.
License metadata gate:
Run node scripts/license-validation.mjs --json <runtime-skill-dir> before
declaring the runtime tree import-ready. Require every root and sub-skill
SKILL.md to contain one non-empty, single-line top-level license value.
Missing, empty, duplicate, malformed, or inconsistent values are failures.
NOASSERTION is a valid source value and is preserved. NO_LICENSE is also
valid but produces a warning containing the repository, source commit, query
status, and reason from the creator's license-resolution report; it is not a
legal conclusion and does not by itself block import.
Usability test case generation:
Read references/usability-test-cases.md.
Create realistic, difficult, evidence-backed case directories under
<artifact-root>/test-cases/, including user_request.txt, README.md,
optional fixtures, per-case assertions.json, and an index.md that maps
cases to root or sub-skill capabilities. The generated cases should stress
routing, workflow depth, support workflows, troubleshooting, and source-repo
dependency avoidance, not just happy-path prompts. For every generated
sub-skill, create one or two new difficult synthetic cases in addition to
cases derived directly from original repo tests/examples. After all
sub-skills are integrated, also create one or two integrated difficult cases
under test-cases/integration/; prefer adapting original repo tests/examples
from the native candidate map, and synthesize only when no suitable native
integrated case exists.
Content-level self-refine: Read references/evaluation-verification-and-handoff.md. Review the whole skill against the user request, confirmed repository include/exclude map, planned sub-skill structure, subagent rubrics, coverage matrix, self-containment, privacy, routing, references, scripts, and assertion-backed usability cases. Revise the runtime skill when the review finds actionable gaps.
Native repo test/example verification:
Using the native test/example candidate map from the calling workflow or one
built during setup, select a safe representative subset of original repo
examples, tests, CLI help checks, tiny-fixture checks, or smoke scripts. Use
the backend verification plan to run each selected case in its assigned
prepared environment. Every required backend capability with no full CPU
substitute needs runtime evidence from its actual backend; do not replace it
with a CPU import or synthetic usability case.
Run only commands that are safe for the current environment: short,
deterministic, no network, no credentials, no destructive writes, no large
downloads, and no long training unless the user explicitly approves. Record
PASS, SKILL_GAP, NATIVE_FAIL, BLOCKED_REQUIRED_BACKEND, SKIP_UNSAFE, and
SKIP_NOT_SELECTED results under the artifact directory. Use
BLOCKED_REQUIRED_BACKEND when required hardware/environment/runtime
evidence is unavailable. Treat it as a high or critical import blocker, not
a skip or pass. Use failures or gaps to revise the runtime skill before
static verification when the generated skill is wrong or thin.
Static verification, final report, and review package:
Run the static checks from the verification reference. Save verification
reports, final skill coverage report, human-review notes, publication
checklist, prompt samples, native verification reports, and any
eval/self-refine notes under <artifact-root>/reports/.
Router placement:
When the skill is intended for the managed repository collection, classify
the repository against the exact fixed taxonomy after verification. Inspect
README and substantive documentation first, then the generated root and
relevant sub-skills, package manifests/entry points, and only a small number
of source/config/test artifacts needed to resolve ambiguity. Assign zero or
more exact area -> family paths. Every assignment needs its own rationale
and at least one non-generated repository evidence item; reject keyword-only,
dependency-only, optional-integration, example-only, and context-collision
matches. If no exact family is supported, record unclassified and ask the
user whether to import it. If the user wants it imported, propose a taxonomy
extension and wait for user approval or correction before changing the
taxonomy. Interrupted or inaccessible classification is blocked or
failed, not a guessed assignment.
Write the full decision outside the runtime skill, preferably under
<repo-path>/skills/disco/routing_decision/, with a machine-readable
classification.json and human-readable evidence.md. The runtime
references/repo-routing-metadata.json is only the minimal v2 projection:
schema_version, canonical owner/repository repo_id, skill_id, the
current taxonomy hash, routing_status, exact assignments, and an
unclassified_reason only when applicable. Do not store evidence or
rationale in that runtime JSON.
Handoff and import readiness:
Report the runtime skill path, artifact path, usability coverage, native
verification results, failures fixed, remaining long-tail gaps, and whether
the skill is ready to import. Record that a self-contained, versioned
repo/package skill is classified as high reuse because it is intended to
support multiple checkouts, projects, and research tasks. This classification
selects the specialized managed repo collection, not the generic managed
importer or the current project's .agents/skills. If
importAfterVerification is ask, use
ask_user_question when available to ask whether to import the verified
runtime skill into ~/.disco/agent/skills/repositories/repo-skills/<skill-id>/; do not only ask in a normal
assistant message and stop. If importAfterVerification is auto-import
and the skill is verified/import-ready with no unresolved high or critical
failures or BLOCKED_REQUIRED_BACKEND results, import without asking again
and state that the original create request authorized auto-import. A partial
environment handoff or required-backend block disables auto-import even if
the original request delegated it. Present the exact limitation and require
a new informed manual import decision after final verification. If import is
approved or auto-authorized,
run the dedicated importer once with the verified runtime skill directory
and its verified external routing handoff:
node scripts/import_repo_skill.mjs --agent-dir <agent-dir> --routing-entry <classification.json> [--overwrite] <runtime-skill-dir>The handoff is not only an assignment list: it must include the canonical
source URL, source commit, final skill_root, and the SHA-256 digest of the
portable runtime skill tree. Every classified assignment must carry its own
rationale and at least one non-generated repository evidence item. The
importer validates these fields and passes the handoff to the router updater
so the central repository index preserves provenance.
Omit --overwrite for a new skill. Use it only after approval to replace
that exact existing repo skill. The importer copies only the runtime tree,
recursively validates its role and visibility contract, requires the v2
references/repo-routing-metadata.json and matching routing handoff, acquires the global lock, rebuilds
and validates the live DisCo repo-skills-router, and restores both the previous skill and router on failure. Do not hand-edit router Markdown as the import mechanism or manually combine a copy command with the lower-level updater. After success,
DisCo Researcher can use the managed skill in a new session without exporting
it to another agent. Use import-repo-skills-to-agent only when the user
explicitly asks for a cross-agent export.
test-cases/; review and verification
documents belong under reports/.license, uses an empty or multi-line value, contains a
duplicate license key, or disagrees with the repository-level value.
NOASSERTION is accepted as a source result. NO_LICENSE is the valid
unavailable-result fallback and remains a warning.BLOCKED_REQUIRED_BACKEND, keep the skill not fully verified, and prevent
auto-import until the backend is verified, scope is explicitly narrowed, or
the user manually accepts the final limitation.scripts/import_repo_skill.mjs; its lock covers staging,
runtime skill replacement, router creation from the template when missing,
structured metadata reads, managed router rebuild, stale-file removal, final
checks, and failure rollback.repo-skills-router by free-form Markdown editing during an
import. The dedicated importer owns the lower-level
scripts/update_repo_skills_router.mjs call.auto-import as permission to overwrite an unrelated existing
managed skill. If the target import directory already exists and this workflow
is not explicitly updating that exact skill, ask before replacing it or choose
a non-conflicting import name when that is consistent with the generated skill
id policy.By the end, the user should have:
index.md under
<artifact-root>/test-cases/.<artifact-root>/test-cases/integration/.<artifact-root>/reports/.<artifact-root>/reports/verification/ when original repo examples/tests
were available.BLOCKED_REQUIRED_BACKEND item.repo-skills-router routing update when import is approved or auto-authorized.© VectorSpaceLab, 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 11 other files (scripts, references) in cli/packages/coding-agent/src/disco/skills/verify-repo-skill of VectorSpaceLab/AREX-Skill.
Open the folder on GitHubat commit ac3fe1a
Verify Repo Skill 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 |
|---|---|---|---|---|---|---|
| Verify Repo Skill this skillVectorSpaceLab/AREX-Skill | 331 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Test ScenarioOwl-Listener/designer-skills | 2.9k | 1 repos | ~434 | Automated safety check: Pass | MIT | |
| Usability Test PlanOwl-Listener/designer-skills | 2.9k | 1 repos | ~410 | Automated safety check: Pass | MIT | |
| Exploratory Testtobihagemann/turbo | 408 | — | ~2k | Automated safety check: Pass | MIT | |
| Exploratory Testtobihagemann/turbo | 408 | — | ~2k | Automated safety check: Pass | MIT | |
| Playwright E2E Builderdavila7/claude-code-templates | 33k | — | ~5.3k | Automated safety check: Notes | MIT |
Owl-Listener/designer-skills
Write realistic usability task scenarios with success criteria and facilitation notes.
Owl-Listener/designer-skills
Design a usability study — research questions, methodology, participant criteria, metrics, and facilitation guide.
tobihagemann/turbo
Execute multi-level exploratory testing of the app covering basic functionality, complex operations, adversarial testing, and cross-cutting scenarios, plus usability observations through a UX lens…
tobihagemann/turbo
Execute multi-level exploratory testing of the app covering basic functionality, complex operations, adversarial testing, and cross-cutting scenarios, plus usability observations through a UX lens…
davila7/claude-code-templates
Plan and build comprehensive Playwright E2E test suites with Page Object Model, authentication state persistence, custom fixtures, visual regression, and CI integration.
OfficeDev/microsoft-365-agents-toolkit
A skill your agent uses when: reading a docs scenario, PRD, mockup, or user flow and using vscuse-ui/noVNC as the primary authoring surface to record, generate, replace, or update vscuse test plans…
VectorSpaceLab/AREX-Skill
Use this repo skill for Agent Lightning package tasks: authoring trainable agents, tracing rewards and spans, running LightningStore/Trainer loops, using agl CLI services, choosing examples, and…
VectorSpaceLab/AREX-Skill
A skill your agent uses when configuring LiteLLM for MCP tools, A2A agents, Claude Code/Cursor agent gateway traffic, MCP auth/OAuth, tool permissions, semantic filtering, or agent-specific proxy…
VectorSpaceLab/AREX-Skill
Build and debug DB-GPT agents, tools, skills, teams, and AWEL workflows, including deterministic local DAG runs and HTTP-trigger topology without assuming an LLM, credential, or external service.
VectorSpaceLab/AREX-Skill
Work on the actively maintained LangChain v1 agent package: initchatmodel, createagent, structured output, tools, middleware, embeddings initialization, provider routing, and agent runtime…
VectorSpaceLab/AREX-Skill
A skill your agent uses for giskard.agents async chat workflows, tools, prompt templates, structured outputs, retries, rate limiting, embeddings, and optional LiteLLM backend.
VectorSpaceLab/AREX-Skill
A skill your agent uses for AlphaFold 3 input preparation, prediction command planning, output interpretation, and Python API inspection.
Categories
Verifies a generated or refreshed repo-specific Agent Skill by creating assertion-backed usability test cases, running content-level self-refine, checking backend-classified native repo…. Verify Repo Skill is an agent skill from VectorSpaceLab/AREX-Skill. Verifies a generated or refreshed repo-specific Agent Skill by creating assertion-backed usability test cases, running content-level self-refine, checking backend-classified native repo examples/tests against the prepared CPU/GPU environment plan, enforcing required-backend and import gates, checking static quality, and producing final coverage and handoff artifacts.
Verify Repo Skill fits situations like: tasks that involve Test generation; tasks that involve UX design.
Run `npx skills add VectorSpaceLab/AREX-Skill --skill verify-repo-skill -a claude-code`. Or copy the skill folder (cli/packages/coding-agent/src/disco/skills/verify-repo-skill in VectorSpaceLab/AREX-Skill) into .claude/skills/verify-repo-skill in your project. Claude Code loads it when a task matches its description.
Run `npx skills add VectorSpaceLab/AREX-Skill --skill verify-repo-skill -a codex`. Or copy the skill folder (cli/packages/coding-agent/src/disco/skills/verify-repo-skill in VectorSpaceLab/AREX-Skill) into .agents/skills/verify-repo-skill 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 VectorSpaceLab/AREX-Skill --skill verify-repo-skill -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/verify-repo-skill, .gemini/skills/verify-repo-skill, .github/skills/verify-repo-skill and .opencode/skills/verify-repo-skill in your project.
Going by SKILL.md and its folder, Verify Repo Skill needs JavaScript and Python for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: Python 3; 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.
Verify Repo Skill 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 4.8k tokens (SKILL.md is roughly 19k 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 15k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Verify Repo Skill: Test Scenario (Owl-Listener/designer-skills, 2.9k stars), Usability Test Plan (Owl-Listener/designer-skills, 2.9k stars), Exploratory Test (tobihagemann/turbo, 408 stars) and Exploratory Test (tobihagemann/turbo, 408 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 331 GitHub stars. The repository holds 157 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.