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 ShaishavMaisuria/research-paper-lifecycle-skills --skill study-exemplarsgit clone --depth 1 https://github.com/ShaishavMaisuria/research-paper-lifecycle-skillsWrote 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/shaishavmaisuria/research-paper-lifecycle-skills/study-exemplars)<a href="https://agentmods.dev/skills/shaishavmaisuria/research-paper-lifecycle-skills/study-exemplars"><img src="https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/study-exemplars/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/shaishavmaisuria/research-paper-lifecycle-skills/study-exemplars"><img src="https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/study-exemplars.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 | $0.00204 | $0.02927 |
| Opus 5.5 | $0.00082 | $0.01171 |
| Sonnet 5.5 | $0.00041 | $0.00585 |
| Haiku 4.5 | $0.00020 | $0.00293 |
Grade A, and why
study-exemplars 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.
How it starts
The opening of the file, as written. The whole thing — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Study Exemplars
Turns a target venue's strongest papers — best-paper awardees and top-cited
work — into an original style-and-structure brief the user can write
against: how winning papers at this venue architect their sections, frame
contributions, design evaluations, and use figures and tables. Papers are
fetched on demand from legal open-access sources and processed transiently.
The deliverable contains metadata and original analysis only — never paper
text. Sits between select-venue/parse-cfp (choosing the target) and the
writing skills (write-abstract, draft-related-work, tailor-to-venue).
When to use
- "What do best papers at look like?" / "analyze the award winners"
- "Show me the most-cited papers and how they're structured"
- "I'm submitting to for the first time — how do successful papers there frame contributions / run evaluations / lay out sections?"
- Before drafting: build a venue style brief that other writing skills consume
- NOT for finding papers on a topic (
find-papers) or reviewing the literature for content (literature-review) — this skill studies form
Inputs
- A target venue, ideally with a profile
venues/conferences/<id>.yml(schema:venues/schema.yml); otherwise resolve aliases per references/finding-exemplars.md - Optional: year window (default: the last 3–4 completed proceedings years), exemplar count (default 5–8), the user's paper type (research / short / demo) so analysis targets the right track
CONTACT_EMAILenv var — required by every script (polite-pool identity); scripts prompt interactively if unset, or exit nonzero with instructions- Optional:
S2_API_KEYenv var for reliable Semantic Scholar access
Process
1. Resolve the venue and lock the target
- Read the venue profile if one exists. Take
aliases.s2_venueandaliases.dblp_keyfrom itsaliases:block; note the track, page limit, and template the user will write for. - Re-verify critical facts against the live
cfp_urlbefore the user relies on them — the brief will state format conventions (page budget, template, required sections), and profiles go stale. If the profile'sverified.dateis older than the current CFP cycle, fetch the CFP and reconcile first. - No profile? Resolve aliases via the
find-papersskill's venue-aliases table or live DBLP venue search before any query — a wrong S2 venue string silently returns zero papers.
What ships with it
6 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.
- 1mo ago First seen · 220 lines · 204 tokens per session scan A 8ea5c70f34cd
study-exemplars is a skill published in the GitHub repository ShaishavMaisuria/research-paper-lifecycle-skills (55 stars, last pushed 3d ago), licensed Apache-2.0. It adds 204 tokens to every session and 2,927 once invoked, about $0.0008 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.
Other skills, from other repositories
research-manager
Use this when starting a new research project or managing a complex, multi-step research workflow.
academic-writing
You must use this when producing any research prose — literature reviews, syntheses, analyses, methodology descriptions, discussion sections, abstracts, or any written output intended for an academic audience.
systematic-review
You must use this when conducting PRISMA-standard systematic reviews, protocol development, or Risk of Bias assessment.
hypothesis-testing
You must use this when formulating testable hypotheses, designing experimental controls, or defining falsification criteria.
multi-source-investigation
You must use this when investigating complex claims across diverse sources or fact-checking contradictory information.
peer-review
You must use this when critiquing academic manuscripts, evaluating methodological rigor, or providing structured reviewer feedback.