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 skills add UCSC-VLAA/VisualClaw --skill answer-format-completiongit clone --depth 1 https://github.com/UCSC-VLAA/VisualClawWrote 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/ucsc-vlaa/visualclaw/answer-format-completion)<a href="https://agentmods.dev/skills/ucsc-vlaa/visualclaw/answer-format-completion"><img src="https://agentmods.dev/badge/skills/ucsc-vlaa/visualclaw/answer-format-completion/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/ucsc-vlaa/visualclaw/answer-format-completion"><img src="https://agentmods.dev/badge/skills/ucsc-vlaa/visualclaw/answer-format-completion.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 | $0.00031 | $0.00238 |
| Opus 5.5 | $0.00012 | $0.00095 |
| Sonnet 5.5 | $0.00006 | $0.00048 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
answer-format-completion 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 1mo 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
Provide Complete Direct Answers
- Recognize multiple-choice format: When presented with options (A), (B), (C), (D), (E), a single letter answer is expected.
- Commit to a choice: Select the single best option based on visual and contextual analysis.
- Deliver answer first: Provide the letter choice immediately, not a partial explanation.
- Only elaborate if requested: Add reasoning only if the prompt asks "why" or "explain"—not by default.
- Avoid incomplete responses: Do not start analysis and trail off; complete the answer.
Example: When asked to choose between dog mat washing outcomes, respond with "(E)" not "Based on the visual evidence in the keyframes, the person is seen washing..."
Anti-pattern: Beginning a multi-sentence explanation when a single letter choice is required, leaving the response incomplete or ambiguous.
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.
- 1mo ago First seen · 18 lines · 31 tokens per session scan A 821bbd0c584d
answer-format-completion is a skill published in the GitHub repository UCSC-VLAA/VisualClaw (57 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 238 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 2026-08-30.
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