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 Light0305/Light-skills --skill light-venue-matchinggit clone --depth 1 https://github.com/Light0305/Light-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/light0305/light-skills/light-venue-matching)<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.
<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>- NVIDIA SkillSpector pass
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 | $0.00142 | $0.02973 |
| Opus 5 | $0.00071 | $0.01486 |
| Sonnet 5 | $0.00028 | $0.00595 |
| Haiku 4.5 | $0.00014 | $0.00297 |
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.
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 — 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
- Consume typesetting's
venue-handoff.json. Verify its PDF path/hash,DELIVERED, pages, page size, profile/source, compliancePASS, and zero critical findings. Preserve paper/figure/citation/typesetting provenance. Do not compile, reformat, inspect page boxes again, or treat stage-11UNAVAILABLEas compliance. - Consume paper-writing's manuscript/claim profile through
manuscript_profile.claims_deliverywith 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. - 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, orSTALE; never use memory.AVAILABLEsources must carry an auditable locator (url,query,locator, orpath),checked_at,access_tier, andauthority. Official rules/fees/deadlines require official/publisher/venue authority; indexing and quartile require index/registry authority. - 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.” - 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.
- 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. - Keep
decision_point=trueandchosen=nullthrough candidate discovery, evidence collection, ranking, and delivery. Stop and ask the user to choose. Only an explicitlight.venue_user_selection.v1may create a selected handoff. Record a direct choice asactor=user; if the user explicitly delegates the choice, preserve the authorization verbatim and useactor=agent_with_user_authorization,decision_authority=user. Never submit. Every selection artifact must include timezone-awareselected_atand the user's stated trade-off inbecause. Bind the choice to the exact reviewed packet withdecision_sha256; a changed packet or any changed registry/evidence/fit artifact requires a new review and selection. - 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.
What ships with it
15 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.
- references.md 5.8 KB
- references/workflow_contract.md 5.1 KB
- scripts/query_privacy_gate.py 9.5 KB runs code
- scripts/venue_discovery.py 6.8 KB runs code
- scripts/venue_evidence_gate.py 24 KB runs code
- scripts/venue_fit_rank.py 24 KB runs code
- scripts/venue_risk_gate.py 21 KB runs code
- scripts/venue_signal.py 52 KB runs code
- scripts/venue_workflow.py 60 KB runs code
- templates/query-privacy.example.json 612 B
- templates/user_selection.json 376 B
- templates/venue_compare_table.md 1.2 KB
- templates/venue_input.json 3.9 KB
- templates/venue-evidence.example.json 1.5 KB
- venue-resource-map.md 6.0 KB
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 · 253 lines · 142 tokens per session scan A 826b903fe0a9
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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