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.
git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote 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/commands/hoangnguyen0403/agent-skills-standard/verify-work)<a href="https://agentmods.dev/commands/hoangnguyen0403/agent-skills-standard/verify-work"><img src="https://agentmods.dev/badge/commands/hoangnguyen0403/agent-skills-standard/verify-work/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/commands/hoangnguyen0403/agent-skills-standard/verify-work"><img src="https://agentmods.dev/badge/commands/hoangnguyen0403/agent-skills-standard/verify-work.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.00793 |
| Opus 5 | $0.00000 | $0.00396 |
| Sonnet 5 | $0.00000 | $0.00159 |
| Haiku 4.5 | $0.00000 | $0.00079 |
Grade A, and why
verify-work 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verify Work
Verify feature, bug, UI, API, mobile, security, or deployment work against acceptance criteria.
Input: $ARGUMENTS
Optional args: slug=, ticket=<id/url>, mode=interactive|autonomous|channel, channel=, auto_continue=true|false, profile=business|hybrid|technical.
Instructions
Execute the following steps for $ARGUMENTS.
Verify Work Workflow
Goal: Prove the delivered change works against explicit acceptance criteria before handoff.
Steps
- Load scope:
- BRD-lite, PRD, SRS/FRS, ticket, implementation plan, release note, acceptance criteria, non-goals, changed files, matched skills, and inherited
operator_profile(carry, do not re-infer).
- BRD-lite, PRD, SRS/FRS, ticket, implementation plan, release note, acceptance criteria, non-goals, changed files, matched skills, and inherited
- Select verification lanes:
- Unit/component, integration/API, E2E/visual, mobile, security, migration, or deployment smoke.
- Execute:
- Run the smallest reliable automated checks first.
- Use Playwright/Appium only when user-facing behavior changed.
- Use Zephyr/Jira/GitHub/GitLab/ADO MCPs only when configured; otherwise record local evidence.
- If external MCP is unavailable, ask for exported ticket/PR/TC data or mark that lane BLOCKED.
- Capture Evidence: logs, screenshots, traces, or terminal output summaries.
- Comparative Audit: If it's a bug fix, prove the "Before" (failure) vs "After" (success).
- Judge:
- PASS: all acceptance criteria proven.
- FAIL: original bug or missed requirement still reproducible.
- BLOCKED: environment, credentials, or approval prevents proof.
- Record evidence:
- If verification reveals behavior drift, require PRD/SRS updates before PASS.
- Update traceability notes from BRD objective -> PRD requirement -> SRS/FRS contract -> verification evidence.
- Update project-local
docs/srs/srs-walkthrough.md. - Route next step back to implementation or
dev-fix.
Runtime Contract
- Use after implementation, before handoff, or when validating a bug fix.
- Required inputs: explicit scope plus acceptance criteria or expected behavior.
- Return BLOCKED only when environment, credentials, or approval prevents proof.
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.
- 9d ago First seen · 90 lines · 0 tokens per session scan A 3a9bc22f67bb
verify-work is a command published in the GitHub repository HoangNguyen0403/agent-skills-standard (565 stars, last pushed 3d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 793 tokens. 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 2026-09-03.
Other commands, from other repositories
debug
Structured bug diagnosis and fixing workflow that reproduces, diagnoses root cause, applies a minimal fix, writes regression tests, and scans for similar patterns.
plan
PM planning workflow that gathers requirements, decomposes them into prioritized tasks, defines API contracts, and produces both a machine-readable plan and a human-readable tracker in docs/plans/.
schedule
Register a scheduled agent job from a natural-language schedule request — parse the interval, resolve agent-id + prompt + workspace, call oma schedule:add, then confirm with oma schedule:list.
coordinate-pro
Thorough version of coordinate - high-quality development workflow with 11 review steps out of 17.
coordinate
Coordinate multiple agents for a complex multi-domain project using PM planning, parallel agent spawning, and QA review.
exec-plan
Create, manage, and track execution plans as first-class repository artifacts in docs/exec-plans/.