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 woliveiras/geremmyas --skill paper-reviewgit clone --depth 1 https://github.com/woliveiras/geremmyasWrote 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/woliveiras/geremmyas/paper-review)<a href="https://agentmods.dev/skills/woliveiras/geremmyas/paper-review"><img src="https://agentmods.dev/badge/skills/woliveiras/geremmyas/paper-review/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/woliveiras/geremmyas/paper-review"><img src="https://agentmods.dev/badge/skills/woliveiras/geremmyas/paper-review.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 | $0.00036 | $0.01693 |
| Opus 5 | $0.00018 | $0.00847 |
| Sonnet 5 | $0.00007 | $0.00339 |
| Haiku 4.5 | $0.00004 | $0.00169 |
Grade A, and why
paper-review 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 12d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rewrite the given text directly. No preamble, no explanation, no list of changes — deliver the rewritten text and nothing else.
What to eliminate
General AI tells (applies to all sections)
Remove or replace every instance of:
- Em dashes (—): use a comma, parentheses, or a new sentence instead
- Curly quotes and apostrophes (“ ” ‘ ’): use straight quotes so the text carries no copy-paste fingerprint
- "delve into", "dive deep", "unpack", "explore" (as a section opener), "tackle"
- "robust", "seamless", "powerful", "cutting-edge", "leverage" (verb), "harness" (verb), "utilize" (use "use")
- "crucial", "essential", "vital", "pivotal", "key" (when used as a filler adjective)
- AI-vocabulary words: "testament", "tapestry", "landscape" (as an abstract noun), "underscore", "showcase", "foster", "garner", "intricate", "intricacies", "meticulous", "realm"
- "It's worth noting that", "It goes without saying", "Needless to say", "It is important to note that"
- "In the realm of", "In the landscape of", "When it comes to", "In today's X world"
- Forced tricolons (the rule of three): "accurate, efficient, and scalable" — keep if the three properties are independently measured, cut if decorative
- Hedging strings: "may potentially", "could possibly suggest", "might arguably be considered" → pick one hedge or eliminate
- Significance and legacy padding: "stands as a testament to", "plays a pivotal role", "marks a turning point", "reflects a broader shift", "contributes to the broader field of" — state the specific finding instead
- Trailing present-participle analysis: "-ing" clauses that editorialize at the end of a sentence ("...highlighting its significance", "...underscoring the importance", "...reflecting a broader trend") — cut or replace with a sourced claim
- Copula avoidance: "serves as", "stands as", "represents" where "is" is meant — prefer the plain "is"
- Vague attribution: "experts argue", "researchers note", "studies show", "it is widely regarded" without a citation — attach the citation or delete the claim
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.
- 12d ago First seen · 113 lines · 36 tokens per session scan A 1be1f89d219a
paper-review is a skill published in the GitHub repository woliveiras/geremmyas (10 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 1,693 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 2026-08-31.
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