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/lilmgenius/paperthin/mandelanpx skills add LilMGenius/paperthin --skill mandelagit clone --depth 1 https://github.com/LilMGenius/paperthinWrote 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/lilmgenius/paperthin/mandela)<a href="https://agentmods.dev/skills/lilmgenius/paperthin/mandela"><img src="https://agentmods.dev/badge/skills/lilmgenius/paperthin/mandela.svg" alt="Measured on agentmods" 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 | $0.00106 | $0.00711 |
| Opus 5 | $0.00053 | $0.00356 |
| Sonnet 5 | $0.00021 | $0.00142 |
| Haiku 4.5 | $0.00011 | $0.00071 |
Grade A, and why
mandela 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audit a validation for leakage: does outside ground-truth actually enter, or is everyone confirming a result no one independently produced?
Goal
The name is the Mandela Effect — a whole population confidently remembers something that never independently happened; a leaky validation is the same shape. Walk the 8 patterns below. mandela checks one thing: whether a validation is independent, or whether the designer, model, and scorer are only confirming each other.
Workflow
- Identify the validation (eval / metric / experiment / holdout / "how we'll know"). Name its components — what plays model, scorer, designer, dataset.
- Ask the core question: does external ground-truth enter independently?
- Test the validation against all 8 patterns below (some apply only to certain components — a human subject, a scorer); report only the ones that fire, each by name.
- Give the independent-ground-truth fix for each hit.
The 8 leakage patterns
- Recall, not reason — a memorized answer recited instead of one actually derived; the system already knows the result it is supposedly computing.
- Wrong null hypothesis — an ablation that removes a surface label but not the underlying signal the system actually exploits, so the "control" still leaks.
- Shared hallucination — two components verifying each other; circularity reported as a number.
- Tautology — a scorer grading buckets it drew itself.
- Verifier = designer — a private, unreproducible recipe in a holdout's clothes.
- Shared-pool bias — train and holdout drawn from one labeler pool, so one bias enters both sides.
- Frame injection — a question that hands the subject the hypothesis.
- Demand characteristics — measured subjects who know they're being measured.
Rules
- Subtlety that bites twice: you can blind the output value and still leak the collection recipe.
- Read-only — name the leak and the independence fix; don't rewrite the experiment.
- For a high-stakes validation, you may add one independent fresh-context auditor (
N=1) handed only the validation design, not this session's reasoning, to re-run the 8-pattern taxonomy blind; the default remains same-session and read-only.
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.
- 5d ago First seen · 43 lines · 106 tokens per session scan A 5efc42ffa98a
mandela is a skill published in the GitHub repository LilMGenius/paperthin (1,054 stars, last pushed 17d ago), licensed MIT. It adds 106 tokens to every session and 711 once invoked, about $0.0005 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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