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.
npx agentmods add skills/context4ai/workflow/verifynpx skills add context4ai/workflow --skill verifygit clone --depth 1 https://github.com/context4ai/workflowWhat 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 | $0.00044 | $0.02865 |
| Opus 5 | $0.00022 | $0.01432 |
| Sonnet 5 | $0.00009 | $0.00573 |
| Haiku 4.5 | $0.00004 | $0.00286 |
Grade A, and why
verify 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 yesterday.
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 — 379 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verify
A unified quality verification skill. Runs typecheck, lint, unit tests, and E2E tests with configurable scope. Filters known runtime noise, persists logs, and performs source-level failure analysis on any failures.
Agent Responsibility Boundaries
The agent's role when running /verify is strictly limited to:
- Execute quality checks according to the requested level
- Collect and persist logs
- Filter known runtime noise from results
- Analyze failures at the source level and report findings
The agent MUST NOT:
- Auto-fix any errors or warnings discovered during verification
- Modify source code, configuration, or test files
- Re-run failed checks after making changes
- Suggest or apply patches without explicit user request
If failures are found, the agent reports a structured analysis. The user decides next steps.
Parameter Format and Routing
/verify [level] [scope]
| Invocation | Level | What Runs |
|---|---|---|
/verify fast |
fast | typecheck + lint + unit tests (no E2E) |
/verify |
standard | fast + default E2E layer |
/verify full |
full | fast + all E2E layers |
/verify e2e [scope] |
e2e-only | E2E tests only (skips typecheck/lint/unit) |
E2E Sub-routing
When E2E tests are included, the [scope] parameter controls which E2E layer(s) run:
| Scope | Meaning |
|---|---|
| (omitted) | Default E2E layer only |
all |
All E2E layers |
<layer-name> |
Specific named layer |
<glob-pattern> |
Pattern-matched layers (e.g. stable/*) |
Route Decision Flow
User invokes /verify [args]
│
├─ args = "fast"
│ └─ Phase A only (typecheck + lint + unit tests)
│
├─ args = "" (empty / standard)
│ └─ Phase A → Phase B (default E2E layer)
│
├─ args = "full"
│ └─ Phase A → Phase B (all E2E layers)
│
├─ args = "e2e [scope]"
│ └─ Phase B only (E2E with given scope)
│
└─ args = unrecognized
└─ Report error: unknown parameter
Usage Examples
Incremental Testing Strategy
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.
- yesterday First seen · 379 lines · 44 tokens per session scan A 178e85fef6d5
verify is a skill published in the GitHub repository context4ai/workflow (4 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 2,865 once invoked, about $0.0002 per session on Opus 5. 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 2026-08-31.
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