Borrowing it
Nothing to install: this file belongs to psyb0t/docker-predictalot. 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/psyb0t/docker-predictalot/main/.agents/skills/predictalot/SKILL.mdgit clone --depth 1 https://github.com/psyb0t/docker-predictalotWrote 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/psyb0t/docker-predictalot/predictalot)<a href="https://agentmods.dev/skills/psyb0t/docker-predictalot/predictalot"><img src="https://agentmods.dev/badge/skills/psyb0t/docker-predictalot/predictalot/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/psyb0t/docker-predictalot/predictalot"><img src="https://agentmods.dev/badge/skills/psyb0t/docker-predictalot/predictalot.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 | $0.00262 | $0.10079 |
| Opus 5.5 | $0.00105 | $0.04032 |
| Sonnet 5.5 | $0.00052 | $0.02016 |
| Haiku 4.5 | $0.00026 | $0.01008 |
Grade A, and why
predictalot scanned grade A with 1 finding 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 21d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
{ "openclaw": { "emoji": "🔮", "primaryEnv": "PREDICTALOT_URL", "requires": { "bins": ["docker", "curl"] } } } The source is not reproduced here
Licensed WTFPL
The repository is licensed WTFPL, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 21d ago Changed · +10 lines cb040d03e971
- 1mo ago First seen · 603 lines · 262 tokens per session scan A a745ef1fbd9f
predictalot is a skill published in the GitHub repository psyb0t/docker-predictalot (3 stars, last pushed 2d ago), licensed WTFPL. It adds 262 tokens to every session and 10,079 once invoked, about $0.0010 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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