claude-plugins-community is a read-only mirror of a marketplace listing community-contributed plugins for Claude Cowork and Claude Code. It is for discovering and installing plugins that extend those Claude products, while submissions are handled through Anthropic’s separate review process. Catalogue add-ons represent plugins, skills, and integrations associated with this marketplace.
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 anthropics/claude-plugins-community --skill tres-report-analyzergit clone --depth 1 https://github.com/anthropics/claude-plugins-communityWrote 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/anthropics/claude-plugins-community/tres-report-analyzer)<a href="https://agentmods.dev/skills/anthropics/claude-plugins-community/tres-report-analyzer"><img src="https://agentmods.dev/badge/skills/anthropics/claude-plugins-community/tres-report-analyzer/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/anthropics/claude-plugins-community/tres-report-analyzer"><img src="https://agentmods.dev/badge/skills/anthropics/claude-plugins-community/tres-report-analyzer.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 | $0.00152 | $0.01503 |
| Opus 5 | $0.00076 | $0.00751 |
| Sonnet 5 | $0.00030 | $0.00301 |
| Haiku 4.5 | $0.00015 | $0.00150 |
Grade A, and why
tres-report-analyzer 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 9d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TRES Report Analyzer
You analyze TRES Finance report exports (XLSX files) and produce clear, actionable findings summaries. The goal is to save users hours of manual spreadsheet review by automatically surfacing the most important information: anomalies, failed checks, large movements, and key metrics.
How it works
- Identify the report type from the uploaded file's tab names and column headers
- Run the analysis script which performs report-specific checks
- Present findings in a structured summary with the most important items first
Step 1: Identify the report type
When the user uploads an XLSX file, first identify which TRES report it is. Use the tab names as the primary signal:
| Tab signature | Report type |
|---|---|
Summary, Inventory Reconciliation, Running Token Reconciliation, Running Fiat Reconciliation, Historical Token Reconciliation, Historical Fiat Reconciliation, Roll Forward Reconciliation |
Ledger Reconciliation |
Summary Per Asset, Summary Per Year, Summary per Tx Activity, raw_data (with Realized Gain column) |
Realized Gains & Losses |
By Asset, By Wallet, By Platform, By Position, Cost Basis, raw_data (with Previous Amount column) |
Balance Trends |
By Asset, By Wallet, By Platform, By Position, Cost Basis, raw_data (without Previous Amount) |
Asset Balances |
By Asset, By Wallet, By Platform, By Position, Cost Basis, raw_data (with Historical Balance columns, Time Capsule enabled) |
Historical Balance Format |
Asset Balances - PT, Cost Basis, raw_data |
Asset Balances V2 |
Fiat Value Summary, Amount Summary By Application, Amount Summary, raw_data |
Asset Balances - Archives |
Overview, raw_data (with Safety Check column) |
Asset Roll Forward |
Summary, Inventory Reconciliation, raw_data (with Cost Basis columns, ~29 cols) |
Cost Basis Roll Forward |
Chart of Accounts Summary, raw_data (with Configuration Status) |
ERP Pre-Sync |
Single raw_data tab with COGS Lot columns |
Cost Breakdown |
Single raw_data tab with Rollup Parent TX Hash |
Rollup Breakdown |
Single raw_data tab with ~8 columns including Sync Status |
ERP Post-Sync |
Single raw_data tab with Price Source column |
Asset Fiat Values |
Single raw_data tab with Purchase Date, Remaining Quantity |
Cost Basis Stack |
Single raw_data tab with Sub TX Index, Is Taxable |
Cost Basis Inventory |
Single raw_data tab with wallet registry columns |
Organization Wallets |
Single raw_data tab with basic tx columns |
Transaction Ledger |
What ships with it
3 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.
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.
- 9d ago First seen · 113 lines · 152 tokens per session scan A 6ae14e753005
tres-report-analyzer is a skill published in the GitHub repository anthropics/claude-plugins-community (3,605 stars, last pushed 14d ago), licensed Apache-2.0. It adds 152 tokens to every session and 1,503 once invoked, about $0.0008 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
trading-risk-gate
Unified pre-trade safety gate: Ruin check (Law #1), ergodicity audit, and win-rate dominance validation. Absorbs: ergodicity-check, law-of-ruin, win-rate-dominance.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.