Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/raja21068/AutoResearchnpx agentmods add skills/raja21068/autoresearch/paper-talkWrote 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/raja21068/autoresearch/paper-talk)<a href="https://agentmods.dev/skills/raja21068/autoresearch/paper-talk"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/paper-talk/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/raja21068/autoresearch/paper-talk"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/paper-talk.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 | $0.00113 | $0.05268 |
| Opus 5 | $0.00056 | $0.02634 |
| Sonnet 5 | $0.00023 | $0.01054 |
| Haiku 4.5 | $0.00011 | $0.00527 |
Grade A, and why
paper-talk 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 6d 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.
This is a copy
98% identical to paper-talk — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Talk: End-to-End Conference Talk Pipeline
Workflow: from a completed paper to a conference-ready talk artifact — slide outline, Beamer source, editable PPTX, speaker notes, full talk script, polished visuals, and assurance checks.
Pipeline target: $ARGUMENTS
Assurance Ladder
The skill takes an explicit — assurance: argument; default is polished.
| Level | Phases run | Use when |
|---|---|---|
draft |
0 → 1 → 2 → 5 → 6 | Internal practice talk; quick first-pass deck |
polished (default) |
0 → 1 → 2 → 3 → 5 → 6 | Lab seminar, workshop, default conference talk |
conference-ready (or submission) |
0 → 1 → 2 → 3 → 4 → 5 → 6 | Top-venue oral / spotlight where slide claims are scrutinised; or anonymous submission |
Phase 4 (assurance checks) is opt-in via — assurance: conference-ready.
The lower levels skip claim / citation / anonymity audits, which is correct
when content has already been audited at the paper-writing stage.
Hard Invariants
These are non-negotiable across all phases:
- Original paper is read-only. This workflow consumes the paper directory; it never modifies
paper/main.texor other paper artifacts. - Original deck is preserved.
/paper-slidesproduces a baseline deck;/slides-polishwrites a_polishedversioned copy. The original Beamer + PPTX are never overwritten. - Speaker notes are byte-stable. Polish must not change
slide.notes_slidecontent. Phase 4 verifies this. - No new content anywhere in the pipeline. All slide text, speaker notes, talk script, Q&A answers, claims, numbers, citations, URLs, author names, affiliations, anonymity placeholders, and experiment results must be either paper-grounded (extracted from
PAPER_DIR/artefacts) or explicitly user-provided. The pipeline never invents content during outline, build, polish, audit, or export. Phase-4 anonymity scan + claim audit verify this end-to-end. - No slide reordering. Add / drop / reorder requires explicit user flags.
- Cross-model independence. Per-page Codex calls in
/slides-polishuse fresh threads (nocodex-reply). See../shared-references/reviewer-independence.md. - Anonymity fail-closed. If any audit (or any Codex fix proposal) would replace a placeholder with a real title / count / URL, the workflow halts and surfaces the proposal for human review. See
../shared-references/experiment-integrity.md. - Style references are guidance, not text source. A
— reference:PDF or— style:preset informs visual weight and structural rhythm; never copy prose, examples, slide titles, or speaker-note text from the reference. - Final report cannot be
conference-readyunless required audits pass. Phase 6 verifies and downgrades verdict if audits fail. reasoning_effort: xhighis invariant across alleffortlevels for any Codex call invoked by sub-skills.
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.
- 6d ago First seen · 382 lines · 113 tokens per session scan A b1c833145e2a
paper-talk is a skill published in the GitHub repository raja21068/AutoResearch (2 stars, last pushed 3mo ago), licensed MIT. It adds 113 tokens to every session and 5,268 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to paper-talk, differing in 6 lines, and is treated as a copy.
Other skills, from other repositories
plotting-agent
Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimentallog.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER…
plotting-agent
Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimentallog.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER…
content-refinement-agent
Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules, deterministic 0-100 decision bands (Accept/Minor/Major/Reject) that drive a target-met early stop, and a Devil's Advocate…
section-writing-agent
Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimentallog.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges…
outline-agent
Step 1 of the PaperOrchestra pipeline (arXiv:2604.05018). Convert (idea.md, experimentallog.md, template.tex, conferenceguidelines.md) into a strict JSON outline containing a plotting plan, literature search plan (Intro + Related Work), and section-level writing plan with citation hints. TRIGGER when the orchestrator…
paper-autoraters
Run the four paper-quality autoraters from PaperOrchestra (arXiv:2604.05018, App. F.3) — Citation F1 (P0/P1 partition + Precision/Recall/F1), Literature Review Quality (6-axis 0-100 with anti-inflation rules), SxS Overall Paper Quality (side-by-side), and SxS Literature Review Quality (side-by-side). TRIGGER when the…