Borrowing it
Nothing to install: this file belongs to travisennis/acai. 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/travisennis/acai/master/.claude/skills/verify/SKILL.mdgit clone --depth 1 https://github.com/travisennis/acaiWrote 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/travisennis/acai/verify)<a href="https://agentmods.dev/skills/travisennis/acai/verify"><img src="https://agentmods.dev/badge/skills/travisennis/acai/verify/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/travisennis/acai/verify"><img src="https://agentmods.dev/badge/skills/travisennis/acai/verify.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 | $0.00020 | $0.00365 |
| Opus 5.5 | $0.00008 | $0.00146 |
| Sonnet 5.5 | $0.00004 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00036 |
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 2mo 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.
What it actually says
Verifying acai changes
Build and launch
npm run build # compiles to dist/; bin/acai runs dist/index.js
./bin/acai -p "..." # one-shot CLI mode (no alternate screen, easy to capture)
CLI mode (-p) drives the full real agent loop — model, tool registry,
prompts — and prints the final answer plus a session summary to stdout.
It uses the user's real model config (~/.acai/acai.json) and API keys
from the environment, so each run makes billed model calls; keep prompts
small and end them with "Do not run any other commands."
Driving tool behavior
To verify tool-level behavior, tell the model exactly which tool to call and with which parameters, then ask it to report the tool result verbatim (e.g. "report the exact metadata footer line in square brackets"). This reliably exercises Bash/BashSession/etc. through the real agent.
Gotchas
timeout(1)does not exist on this macOS host; bound long runs with the Bash tool's own timeout instead.- Process sessions (Bash yield/BashSession) are in-memory per acai process;
they cannot be verified across separate
-pinvocations. Verify the whole flow inside a single prompt. - Orphan checks: after acai exits,
pgrep -lf <command>confirms session cleanup killed the process group. - stdout includes terminal title escape sequences (
]0;...); pipe throughtailor strip them when capturing.
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.
- 2mo ago First seen · 39 lines · 20 tokens per session scan A b70004c3e5fe
verify is a skill published in the GitHub repository travisennis/acai (5 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 365 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
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A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.
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test-warp-ui
Guides testing Warp UI features and changes using the computer use tool. Use this skill only when computer-use testing was requested (explicit request or accepted offer) and the computeruse tool is available to the agent. Covers launching Warp and verifying UI behavior.