Borrowing it
Nothing to install: this file belongs to fbabelle/PrettySeriousResearcher. 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/fbabelle/PrettySeriousResearcher/main/.claude/skills/research-venue-selection/SKILL.mdgit clone --depth 1 https://github.com/fbabelle/PrettySeriousResearcherWrote 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/fbabelle/prettyseriousresearcher/research-venue-selection)<a href="https://agentmods.dev/skills/fbabelle/prettyseriousresearcher/research-venue-selection"><img src="https://agentmods.dev/badge/skills/fbabelle/prettyseriousresearcher/research-venue-selection/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/fbabelle/prettyseriousresearcher/research-venue-selection"><img src="https://agentmods.dev/badge/skills/fbabelle/prettyseriousresearcher/research-venue-selection.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 | $0.00058 | $0.01834 |
| Opus 5 | $0.00029 | $0.00917 |
| Sonnet 5 | $0.00012 | $0.00367 |
| Haiku 4.5 | $0.00006 | $0.00183 |
Grade A, and why
research-venue-selection 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research venue selection
A paper isn't done in a vacuum — it's done for a venue, on that venue's deadline, in that venue's format. This skill finds where to submit: the conferences/journals that fit the work, ranked, ordered by deadline feasibility, with the prep and cost each one demands. It runs twice in the cycle: early (Phase 1) to emit a venue profile that shapes what to work on, and late (Phase 3/4) to lock the deadline-feasible target the short version is built for. Picking a target early lets the topic be chosen for venue fit and lets research-writing build the short version to the right requirements — not a one-off at the very end.
Use the host agent's current web-search and page-fetch tools for current venue research. Deadlines, fees, and even venues change every cycle — every date/fee is a claim to verify against the official current-year CFP, never recalled from memory (the recency discipline shared with research-references).
When to run
- Early, at Phase-1 start (venue-as-input mode). Emit a venue profile — a shortlist of 2–4 candidate venues + their shared norms (rubric dimensions, acceptance bar, section/length template, disclosure/anonymity rules, deadline windows), partly derived by mining the venues' recent accepted papers as exemplars.
research-topic-selectionconsumes this as a scored venue-fit angle, the end-deliverable rubric and theresearch-mock-reviewbar calibrate to it, and the skeleton is shaped by its norms. No finish date is needed yet — this run is about fit and bar, not deadline feasibility. - Late, triggered by the estimated finishing date (from
research-tracking): once the projected finish is far enough ahead that upcoming deadlines are still catchable — typically late Phase 3 / entering Phase 4 — lock the deadline-feasible target. Too late and you miss the cycle. - Re-run when the timeline shifts (finish date slips, a deadline passes) or at phase boundaries — deadlines are time-sensitive, so a plan goes stale.
- When the user asks "where can we submit this?" / "what's the deadline?"
What ships with it
1 file 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.
- 5d ago Changed · +1 lines 9deb6215503f
- 10d ago First seen · 55 lines · 58 tokens per session scan A e63a079d4932
research-venue-selection is a skill published in the GitHub repository fbabelle/PrettySeriousResearcher (2 stars, last pushed today), licensed Apache-2.0. It adds 58 tokens to every session and 1,834 once invoked, about $0.0003 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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