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 prior-artifact-consistencygit 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/prior-artifact-consistency)<a href="https://agentmods.dev/skills/ucsc-vlaa/visualclaw/prior-artifact-consistency"><img src="https://agentmods.dev/badge/skills/ucsc-vlaa/visualclaw/prior-artifact-consistency/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/prior-artifact-consistency"><img src="https://agentmods.dev/badge/skills/ucsc-vlaa/visualclaw/prior-artifact-consistency.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 | $0.00208 |
| Opus 5 | $0.00015 | $0.00104 |
| Sonnet 5 | $0.00006 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
prior-artifact-consistency 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 10d 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
Stay Consistent With Earlier-Round Artifacts
- Read prior artifacts first: Earlier rounds wrote files into the workspace. Read the relevant ones before producing new output.
- Reconcile, don't contradict: New output must agree with established facts and decisions unless the current task explicitly says to revise them.
- Carry forward stable facts: Observation keys, evidence strings, and identifiers established earlier should be reused verbatim.
- Surface genuine conflicts: If the task's requirements truly conflict with a prior artifact, state the conflict rather than silently picking one side.
Example: An evidence-matrix round reuses the exact observation keys already present in damage_log.json.
Anti-pattern: Re-deriving facts from scratch and producing values that contradict a prior round's file.
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.
- 10d ago First seen · 17 lines · 31 tokens per session scan A 87744eccf713
prior-artifact-consistency is a skill published in the GitHub repository UCSC-VLAA/VisualClaw (55 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 208 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 2026-08-30.
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