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 | $0.00102 | $0.01463 |
| Sonnet 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 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 — 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.
- 12d 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 (42 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 204 tokens to every session and 2,927 once invoked, about $0.0010 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.
Other skills, from other repositories
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aaai-submission
Use when auditing an AAAI main technical track submission for OpenReview readiness, double-blind anonymity, page limits, reproducibility checklist, supplementary material, author limits, multiple-submission policy, and AAAI AI-use policy compliance.
acl-author-response
Use when drafting an ACL author response inside an ACL Rolling Review cycle on OpenReview, covering the response window before meta-review, reviewer discussion dynamics, score-change strategy, flagging review issues to the area chair, anonymity rules, and deciding between responding now versus revising for a later ARR…
acl-camera-ready
Use when preparing an accepted ACL main-conference or Findings paper for camera-ready, covering the extra content page, de-anonymization and acknowledgements, AI-assistance disclosure, keeping the Limitations section, ACL Anthology metadata and CC BY 4.0 publication, meta-review-driven edits, and presentation-mode…
acl-related-work
Use when positioning an ACL submission against the NLP literature, covering ACL Anthology citation practice, arXiv-versus-published version citation, concurrent LLM-era preprints, prior-cycle ARR resubmission overlap, anonymity-preserving self-citation, and the fast-moving baseline problem in computational linguistics.
acl-reproducibility
Use when strengthening reproducibility evidence for an ACL paper reviewed through ACL Rolling Review, covering the Responsible NLP checklist end to end, hyperparameter and compute reporting, prompt and decoding disclosure for LLM experiments, data contamination auditing, variance across runs, and checklist-to-paper…