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 agentmods add skills/flonat/flonat-research/camera-readynpx skills add flonat/flonat-research --skill camera-readygit clone --depth 1 https://github.com/flonat/flonat-researchWrote 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/flonat/flonat-research/camera-ready)<a href="https://agentmods.dev/skills/flonat/flonat-research/camera-ready"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/camera-ready.svg" alt="Measured on agentmods" 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 | $0.00105 | $0.02079 |
| Opus 5 | $0.00053 | $0.01040 |
| Sonnet 5 | $0.00021 | $0.00416 |
| Haiku 4.5 | $0.00011 | $0.00208 |
Grade A, and why
camera-ready 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 2d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
camera-ready: Accepted Paper → Camera-Ready + Review Implementation
For a paper that has been accepted (no rebuttal stage): produce the camera-ready version and implement the reviewers' (typically minor) revisions. Distinct from strategic-revision --external, which handles R&R (rebuttal, DAG, resubmission strategy).
When to Use
- Acceptance notification arrived; reviews are final; you implement rather than argue.
- Triggers: "prepare the camera-ready", "implement the reviews for the accepted paper", "de-anonymize and finalize".
Operating Rules (read first)
- Overleaf-canonical: edit the Overleaf/
paper/symlink target, not any git mirror (overleaf-canonical-source.md). The.texis a live edit surface — obeyreconcile-before-rewriting.md(fresh-read, narrow edits, noreplace_all/full-Write, mtime check). - Phased-work: stop after each phase, summarize, await
continue(phased-work.md) unless--autonomous. - mark-unverified: never assert a reviewer-suggested citation/venue fact you haven't verified.
- Status logging: acceptance means the vault/atlas status should move to Accepted/camera-ready per
multi-system-completeness.md— but if the formal decision letter hasn't landed yet (early prep), hold status changes until the user confirms.
Phase 0 — Setup & verify
- Save the reviews to
paper-{venue}/correspondence/referee-reviews/<YYYY-MM-DD>-<venue>-reviews.md(score table + verbatim text). - Back up the submitted
main.tex/.bib/.pdf→paper-{venue}/backup/submitted-<YYYY-MM-DD>/. - Verify reviewer-suggested citations before adding any (DOI/title via
scholarly/paperpile); reviewers often mis-spell/mis-date (e.g. "Edelmann 1996" → Suchman & Edelman 1996). Stash verified new entries. - Build a reviewer-point → action table so nothing is dropped; confirm scope with the user.
- Confirm the page-limit rule (see Phase 3) —
[UNVERIFIED]until checked against the CfP/acceptance email.
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.
- 2d ago First seen · 104 lines · 105 tokens per session scan A a6579dad629d
camera-ready is a skill published in the GitHub repository flonat/flonat-research (132 stars, last pushed 11d ago), licensed MIT. It adds 105 tokens to every session and 2,079 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
latex-compile
Compile a LaTeX document and fix every error plus aesthetic issue (overfull/underfull boxes, widows, alignment, fonts) for a clean PDF and log. Use this instead of running pdflatex/latexmk manually — it avoids the latexmk stale-log trap and silent grep failures on binary log output, and it reformats rather than…
nb-to-wolfbook
Convert Mathematica .nb or .m files to Wolfbook .wb format so they open and run in VS Code. Use when bringing existing .nb/.m files into Wolfbook, or to make an existing .wb bridge-safe.
sync-wb-nb
Propagate a change made in a Wolfbook .wb notebook into the paired .nb notebook so the two stay identical. Use immediately after every .wb edit.
wolfram-headless
Run heavy Wolfram Language (wolframscript) computations from Claude Code reliably, and diagnose the misleading "The product exited because of a license error". Use whenever invoking wolframscript on a non-trivial computation, when a wolframscript job dies with a "license error" despite a valid license, or when Wolfram…
cross-validate
Format a result, derivation, or numerical value for independent verification by a second model. Use when you want a cross-check on an important or contested result.
verify-citation
Confirm a paper actually exists (arXiv / Semantic Scholar / OpenAlex) before citing it. Use before writing any new citation.