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 raja21068/AutoResearch --skill comm-lit-reviewgit clone --depth 1 https://github.com/raja21068/AutoResearchWrote 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/comm-lit-review)<a href="https://agentmods.dev/skills/raja21068/autoresearch/comm-lit-review"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/comm-lit-review/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/comm-lit-review"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/comm-lit-review.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 | $0.00123 | $0.02152 |
| Opus 5 | $0.00062 | $0.01076 |
| Sonnet 5 | $0.00025 | $0.00430 |
| Haiku 4.5 | $0.00012 | $0.00215 |
Grade A, and why
comm-lit-review-claude-single 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 8d 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
95% identical to comm-lit-review — 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 — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Comm Lit Review Claude Single
Research topic: $ARGUMENTS
Purpose
Use this skill for communications-domain literature review when the topic is about:
- wireless communications
- cellular systems,
4G/5G/6G,NR,NTN - satellite,
LEO,GEO, integrated space-air-ground systems - Wi-Fi, WLAN, mesh, ad hoc, sidelink, V2X
- routing, scheduling, resource allocation, beamforming
- rate adaptation, link adaptation,
ACM,HARQ,CSIfeedback - transport protocols and congestion control in communication networks
- cross-layer optimization for communication systems
If the center of gravity is generic ML architecture research, pure control theory without communications literature, or software/API documentation rather than papers, fall back to a general literature skill.
Constants
- PAPER_LIBRARY: Check local PDFs in this order:
papers/in the current projectliterature/in the current project- Custom path specified by the user in
CLAUDE.mdunder## Paper Library
- MAX_LOCAL_PAPERS = 20: Maximum number of local PDFs to scan. If there are more, prioritize by filename and first-page relevance.
Source Selection
Parse $ARGUMENTS for a — sources: directive.
- If
— sources:is specified, only search the listed sources. - If not specified, default to:
zoteroobsidianlocalieeesciencedirectacmweb
Valid source values:
zoteroobsidianlocalieeesciencedirectacmweball
If all is specified, interpret it as the full default source set.
Retrieval Order
This is a knowledge-base-first skill. Search in this order unless the user overrides it:
ZoteroObsidian- local
papers/andliterature/ IEEE XploreScienceDirectACM Digital Library- broader web
Graceful degradation rules:
- If a source is unavailable, do not fail.
- Skip it silently.
- Continue to the next source.
External Search Policy
For external search:
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.
- 8d ago First seen · 298 lines · 123 tokens per session scan A 5150436004f3
comm-lit-review-claude-single is a skill published in the GitHub repository raja21068/AutoResearch (2 stars, last pushed 3mo ago), licensed MIT. It adds 123 tokens to every session and 2,152 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to comm-lit-review, differing in 6 lines, and is treated as a copy.
Other skills, from other repositories
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…
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…
paper-writing-bench
Reverse-engineer raw materials (Sparse idea, Dense idea, experimental log) from an existing AI research paper to build a benchmark case for evaluating paper-writing pipelines. Replicates the PaperWritingBench dataset construction procedure from arXiv:2604.05018 §3 / App. C. TRIGGER when the user asks to "build a…