light-venue-matching

light-venue-matching is a skill for Claude Code, Codex from Light0305/Light-skills. It costs 142 tokens per session (2,973 once invoked), scanned A, original, MIT.

A workflow for choosing journals or conferences for a completed research paper. It compares the paper’s topic, article type, evidence, and submission requirements with possible publication venues.

In plain words
What is it for?
Use it to build an auditable submission shortlist, assess scope and article-type fit, organize reach and safety tiers, and record current sources for venue information.
Why use it?
It helps avoid unsuitable venues and unsupported assumptions about details that change often, such as fees, review times, acceptance rates, indexing, and deadlines.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build an auditable submission shortlist, assess scope and article-type fit, organize reach and safety tiers, and record current sources for venue information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/light0305/light-skills/light-venue-matching
Install

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.

Any agent
npx skills add Light0305/Light-skills --skill light-venue-matching
Clone the repo
git clone --depth 1 https://github.com/Light0305/Light-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for light-venue-matching

README.md
[![agentmods](https://agentmods.dev/badge/skills/light0305/light-skills/light-venue-matching/github.svg)](https://agentmods.dev/skills/light0305/light-skills/light-venue-matching)
Your own site
<a href="https://agentmods.dev/skills/light0305/light-skills/light-venue-matching"><img src="https://agentmods.dev/badge/skills/light0305/light-skills/light-venue-matching/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.

agentmods 80×15 button for light-venue-matching

Your own site · 80×15
<a href="https://agentmods.dev/skills/light0305/light-skills/light-venue-matching"><img src="https://agentmods.dev/badge/skills/light0305/light-skills/light-venue-matching.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 142 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,973 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00142 $0.02973
Opus 5 $0.00071 $0.01486
Sonnet 5 $0.00028 $0.00595
Haiku 4.5 $0.00014 $0.00297

Measured 12d ago against content hash 826b903fe0a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

light-venue-matching 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.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/query_privacy_gate.py, scripts/venue_discovery.py, scripts/venue_evidence_gate.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/light-venue-matching/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Venue matching · stage 12

Turn a delivered paper into an auditable venue decision. Read venue-resource-map.md before a real run and references/workflow_contract.md before producing or consuming JSON. Use references.md to choose current sources. Start from templates/venue_input.json; never start from model memory or a bundled venue list.

Non-negotiable boundaries

  1. Consume typesetting's venue-handoff.json. Verify its PDF path/hash, DELIVERED, pages, page size, profile/source, compliance PASS, and zero critical findings. Preserve paper/figure/citation/typesetting provenance. Do not compile, reformat, inspect page boxes again, or treat stage-11 UNAVAILABLE as compliance.
  2. Consume paper-writing's manuscript/claim profile through manuscript_profile.claims_delivery with a safe relative path, schema, and SHA-256. Do not change claims, methods, results, article type, data scale, or evidence strength to make a venue fit. Citation owns reference authenticity; figure owns visual honesty.
  3. Treat acceptance rate, review time, APC/OA, indexing, quartile, and CFP deadline as high-velocity fields. Require a source checked on the run date. Otherwise emit UNKNOWN, UNAVAILABLE, or STALE; never use memory. AVAILABLE sources must carry an auditable locator (url, query, locator, or path), checked_at, access_tier, and authority. Official rules/fees/deadlines require official/publisher/venue authority; indexing and quartile require index/registry authority.
  4. Treat 403/429/5xx, missing key/login/subscription, robots denial, and source outage as UNAVAILABLE. They do not mean “not indexed,” “not in DOAJ,” “free,” or “risky.”
  5. Keep predatory/hijacked signals as visible warnings pending current, multi-source human review. DOAJ absence, high APC, fast review, unsolicited email, unusual volume, or one archived list is not a final verdict.
  6. Never estimate an acceptance percentage or convert fit into acceptance probability. Use official current acceptance figures only with source/date; otherwise acceptance_likelihood.status=UNKNOWN.
  7. Keep decision_point=true and chosen=null through candidate discovery, evidence collection, ranking, and delivery. Stop and ask the user to choose. Only an explicit light.venue_user_selection.v1 may create a selected handoff. Record a direct choice as actor=user; if the user explicitly delegates the choice, preserve the authorization verbatim and use actor=agent_with_user_authorization, decision_authority=user. Never submit. Every selection artifact must include timezone-aware selected_at and the user's stated trade-off in because. Bind the choice to the exact reviewed packet with decision_sha256; a changed packet or any changed registry/evidence/fit artifact requires a new review and selection.
  8. Do not invent STAGE_GATES[12], ROUTES[12], a confirmation checkpoint, critical findings, or a back-edge. Stage 12 is a user decision point with no configured gate or route edge.

Read the full file on GitHub · 253 lines

Changes

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.

  1. 12d ago First seen · 253 lines · 142 tokens per session scan A 826b903fe0a9

Subscribe to this mod's changes

light-venue-matching is a skill published in the GitHub repository Light0305/Light-skills (620 stars, last pushed 2mo ago), licensed MIT. It adds 142 tokens to every session and 2,973 once invoked, about $0.0007 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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