Chorus is a coordination harness for teams of coding agents and humans, combining agent orchestration, task tracking, permissions, observability, and recovery in one workflow. It is for collaborative software development where agents propose changes and people verify them before delivery, and the catalogue entries provide its skills, hooks, agents, commands, MCP integration, plugin, and configuration.
Borrowing it
Nothing to install: this file belongs to Chorus-AIDLC/Chorus. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Chorus-AIDLC/Chorus/main/.claude/skills/e2e-verification/SKILL.mdgit clone --depth 1 https://github.com/Chorus-AIDLC/ChorusWrote 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.
[](https://agentmods.dev/skills/chorus-aidlc/chorus/e2e-verification)<a href="https://agentmods.dev/skills/chorus-aidlc/chorus/e2e-verification"><img src="https://agentmods.dev/badge/skills/chorus-aidlc/chorus/e2e-verification/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.
<a href="https://agentmods.dev/skills/chorus-aidlc/chorus/e2e-verification"><img src="https://agentmods.dev/badge/skills/chorus-aidlc/chorus/e2e-verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 34 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00054 | $0.01557 |
| Opus 5.5 | $0.00022 | $0.00623 |
| Sonnet 5.5 | $0.00011 | $0.00311 |
| Haiku 4.5 | $0.00005 | $0.00156 |
Grade A, and why
e2e-verification scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -o /dev/null -w "%{http_code}" http://localhost:8637/login # expect 200 The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 2d ago Changed · -3 lines 34d910d79122
- 1mo ago First seen · 97 lines · 54 tokens per session scan A e4208572efdc
e2e-verification is a skill published in the GitHub repository Chorus-AIDLC/Chorus (1,210 stars, last pushed yesterday), licensed AGPL-3.0. It adds 54 tokens to every session and 1,557 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
browser-inspect
Browser inspection and interaction for verifying rendered web UI during development.
qp-run
Automation stage of QP — executes the test cases from qp-plan against the live app through the session's adapter (Playwright MCP for web, computer-use MCP for desktop), records one verdict per step with a closed status, an MTM branch, whether the step was closed by machine evidence or left to judgment, and masks…
qp
QP (Quality Platform) router — takes a web URL or a desktop app name and runs the plan → run → regress loop (qp-plan, qp-run, qp-regress) end to end, or routes to one stage. Classifies the target (public vs profile-required), probes which adapter the session has (Playwright MCP for web, computer-use MCP for desktop)…
qp-plan
Prepare stage of QP — builds a surface inventory of a web page or desktop app (routes, menus, forms, dialogs), checks it is MECE (no overlap, nothing missing that is visible), and designs test cases as a TSV with preconditions and expected values whose SOURCE is named. Works without a spec document (then expected…
superqa
Browser QA for any website: turns a plain prompt into test scenarios, drives a real browser, and flags side effects (console/JS errors, failed requests, unexpected dialogs/popups/tabs) in plain-language reports. Also click-to-record, visual baselines, a clickable web admin, and CI/JUnit output. Use when the user says…
evoflow-chat-smoke
An end-to-end check for the EvoFlow web chat: it can start or reuse a local Vite app, log in, create a conversation, send a chosen message, and check the displayed messages and reply. End-to-end testing checks a complete user flow rather than one small function.