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 select-venuegit 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/select-venue)<a href="https://agentmods.dev/skills/shaishavmaisuria/research-paper-lifecycle-skills/select-venue"><img src="https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/select-venue/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/select-venue"><img src="https://agentmods.dev/badge/skills/shaishavmaisuria/research-paper-lifecycle-skills/select-venue.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 | $0.00128 | $0.01690 |
| Opus 5 | $0.00064 | $0.00845 |
| Sonnet 5 | $0.00026 | $0.00338 |
| Haiku 4.5 | $0.00013 | $0.00169 |
Grade A, and why
select-venue 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Select Venue
Turn "where should I submit this paper?" into a ranked shortlist of
venue-track pairs with scores, deadlines, page budgets, and an explicit
verification status — grounded in the repo's venues/ profiles, not vibes.
When to use
- The user asks where to submit a paper, for target-venue recommendations, or to compare candidate venues/tracks.
- The user asks "does my paper fit venue X?" or "research track or industry track?"
- The user mentions CORE rank, h5-index, CCF class, acceptance rates, or upcoming CS conference deadlines in a submission-planning context.
Not for: parsing one specific CFP into a profile (parse-cfp), adapting a
draft to an already-chosen venue (tailor-to-venue), or pre-submission
compliance checks (preflight-check).
Inputs
- Topic — one or two sentences on what the paper is about.
- Contribution type — classify using
references/track-fit.md; ask the user if ambiguous. - Constraints — earliest realistic submission date, prestige goals (and whether CCF class matters), page-budget reality of the current draft, blind-level conflicts (e.g. an already-public preprint), travel/registration constraints.
- Venue data —
venues/conferences/*.ymlprofiles (schema invenues/schema.yml), surfaced byscripts/list_venues.py.
Process
-
Elicit the inputs. Confirm topic, contribution type, and constraints in one round of questions. The contribution type changes the shortlist more than the topic — pin it down first (
references/track-fit.md, "Contribution taxonomy"). -
Survey profiled venues. Run:
python3 scripts/list_venues.pyThis lists every profile with deadline proximity, blind level, submission system, and per-track page budgets, sorted by next upcoming submission deadline. Useful flags:
--upcoming-only,--family <name>,--track <name>,--json(full data incl. track notes),--today YYYY-MM-DD(reproducible runs). Never compute date arithmetic by hand. Caveat: some venues (e.g. SIGSPATIAL) have per-track deadlines that differ from the top-level ones — they live in each track'snotesfield; read them in the--jsonoutput.
What ships with it
4 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 · 135 lines · 128 tokens per session scan A 6e685c4a2382
select-venue 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 128 tokens to every session and 1,690 once invoked, about $0.0006 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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