pwc-mcp

pwc-mcp is a skill for Claude Code, Codex from huggingface/pwc-cli. It costs 123 tokens per session (2,837 once invoked), scanned A, original, no licence file.

A research-search tool for finding and reading AI and machine-learning papers through Papers With Code, a public site that links papers, methods, tasks, and benchmark results.

In plain words
What is it for?
It helps find recent or trending papers, follow a paper's research lineage, browse conferences and methods, and inspect benchmark leaderboards with model-size and metric filters.
Why use it?
It removes the need to search several research sources separately when tracing related work or comparing published results.

Skill for Claude CodeCodex ✓ vendor

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It helps find recent or trending papers, follow a paper's research lineage, browse conferences and methods, and inspect benchmark leaderboards with model-size and metric filters.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/huggingface/pwc-cli/mcp_server
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 huggingface/pwc-cli --skill mcp_server
Clone the repo
git clone --depth 1 https://github.com/huggingface/pwc-cli

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 pwc-mcp

README.md
[![agentmods](https://agentmods.dev/badge/skills/huggingface/pwc-cli/mcp_server/github.svg)](https://agentmods.dev/skills/huggingface/pwc-cli/mcp_server)
Your own site
<a href="https://agentmods.dev/skills/huggingface/pwc-cli/mcp_server"><img src="https://agentmods.dev/badge/skills/huggingface/pwc-cli/mcp_server/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 pwc-mcp

Your own site · 80×15
<a href="https://agentmods.dev/skills/huggingface/pwc-cli/mcp_server"><img src="https://agentmods.dev/badge/skills/huggingface/pwc-cli/mcp_server.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 123 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,837 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.
Origin unknown 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 $0.00123 $0.02837
Opus 5.5 $0.00049 $0.01135
Sonnet 5.5 $0.00025 $0.00567
Haiku 4.5 $0.00012 $0.00284

Measured yesterday against content hash 0e83c2e5026f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pwc-mcp 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 yesterday.

The scan reads SKILL.md. This mod also ships 13 executable files (src/pwc_mcp/__init__.py, src/pwc_mcp/app.py, src/pwc_mcp/catalog.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.

mcp_server/SKILL.md · 135 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. yesterday Changed · +6 lines 0e83c2e5026f
  2. 3d ago Changed 998d9a3c5090
  3. 26d ago Changed 8ee919e0dc36
  4. 27d ago Changed · +2 lines 42f9c1fee648
  5. 28d ago Changed · +1 lines ba6bad852397
  6. 29d ago First seen · 126 lines · 123 tokens per session scan A 6a545314e3e0

Subscribe to this mod's changes

pwc-mcp is a skill published in the GitHub repository huggingface/pwc-cli (199 stars, last pushed yesterday), with no licence file. It adds 123 tokens to every session and 2,837 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-17.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

matlab

Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 44 tokens

exploratory-data-analysis

Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

phylogenetics

Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…

K-Dense-AI/scientific-agent-skills · 71 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

presenting-conference-talks

Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.

Orchestra-Research/AI-Research-SKILLs · 53 tokens