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Originally from OpenAI's curated skills catalog.\nallowed-tools:\n- Bash\n- Read\n- Grep\n- Glob\n- Write\n- Edit\n---\n\n# Spreadsheet Skill (Create, Edit, Analyze, Visualize)\n\n## When to use\n- Build new workbooks with formulas, formatting, and structured layouts.\n- Read or analyze tabular data (filter, aggregate, pivot, compute metrics).\n- Modify existing workbooks without breaking formulas or references.\n- Visualize data with charts\u002Ftables and sensible formatting.\n\nIMPORTANT: System and user instructions always take precedence.\n\n## Workflow\n1. Confirm the file type and goals (create, edit, analyze, visualize).\n2. Use `openpyxl` for `.xlsx` edits and `pandas` for analysis and CSV\u002FTSV workflows.\n3. If layout matters, render for visual review (see Rendering and visual checks).\n4. Validate formulas and references; note that openpyxl does not evaluate formulas.\n5. Save outputs and clean up intermediate files.\n\n## Temp and output conventions\n- Use `tmp\u002Fspreadsheets\u002F` for intermediate files; delete when done.\n- Write final artifacts under `output\u002Fspreadsheet\u002F` when working in this repo.\n- Keep filenames stable and descriptive.\n\n## Primary tooling\n- Use `openpyxl` for creating\u002Fediting `.xlsx` files and preserving formatting.\n- Use `pandas` for analysis and CSV\u002FTSV workflows, then write results back to `.xlsx` or `.csv`.\n- If you need charts, prefer `openpyxl.chart` for native Excel charts.\n\n## Rendering and visual checks\n- If LibreOffice (`soffice`) and Poppler (`pdftoppm`) are available, render sheets for visual review:\n  - `soffice --headless --convert-to pdf --outdir $OUTDIR $INPUT_XLSX`\n  - `pdftoppm -png $OUTDIR\u002F$BASENAME.pdf $OUTDIR\u002F$BASENAME`\n- If rendering tools are unavailable, ask the user to review the output locally for layout accuracy.\n\n## Dependencies (install if missing)\nPrefer `uv` for dependency management.\n\nPython packages:\n```\nuv pip install openpyxl pandas\n```\nIf `uv` is unavailable:\n```\npython3 -m pip install openpyxl pandas\n```\nOptional (chart-heavy or PDF review workflows):\n```\nuv pip install matplotlib\n```\nIf `uv` is unavailable:\n```\npython3 -m pip install matplotlib\n```\nSystem tools (for rendering):\n```\n# macOS (Homebrew)\nbrew install libreoffice poppler\n\n# Ubuntu\u002FDebian\nsudo apt-get install -y libreoffice poppler-utils\n```\n\nIf installation isn't possible in this environment, tell the user which dependency is missing and how to install it locally.\n\n## Environment\nNo required environment variables.\n\n## Examples\n- Runnable the agent examples (openpyxl): `references\u002Fexamples\u002Fopenpyxl\u002F`\n\n## Formula requirements\n- Use formulas for derived values rather than hardcoding results.\n- Keep formulas simple and legible; use helper cells for complex logic.\n- Avoid volatile functions like INDIRECT and OFFSET unless required.\n- Prefer cell references over magic numbers (e.g., `=H6*(1+$B$3)` not `=H6*1.04`).\n- Guard against errors (#REF!, #DIV\u002F0!, #VALUE!, #N\u002FA, #NAME?) with validation and checks.\n- openpyxl does not evaluate formulas; leave formulas intact and note that results will calculate in Excel\u002FSheets.\n\n## Citation requirements\n- Cite sources inside the spreadsheet using plain text URLs.\n- For financial models, cite sources of inputs in cell comments.\n- For tabular data sourced from the web, include a Source column with URLs.\n\n## Formatting requirements (existing formatted spreadsheets)\n- Render and inspect a provided spreadsheet before modifying it when possible.\n- Preserve existing formatting and style exactly.\n- Match styles for any newly filled cells that were previously blank.\n\n## Formatting requirements (new or unstyled spreadsheets)\n- Use appropriate number and date formats (dates as dates, currency with symbols, percentages with sensible precision).\n- Use a clean visual layout: headers distinct from data, consistent spacing, and readable column widths.\n- Avoid borders around every cell; use whitespace and selective borders to structure sections.\n- Ensure text does not spill into adjacent cells.\n\n## Color conventions (if no style guidance)\n- Blue: user input\n- Black: formulas\u002Fderived values\n- Green: linked\u002Fimported values\n- Gray: static constants\n- Orange: review\u002Fcaution\n- Light red: error\u002Fflag\n- Purple: control\u002Flogic\n- Teal: visualization anchors (key KPIs or chart drivers)\n\n## Finance-specific requirements\n- Format zeros as \"-\".\n- Negative numbers should be red and in parentheses.\n- Always specify units in headers (e.g., \"Revenue ($mm)\").\n- Cite sources for all raw inputs in cell comments.\n\n## Investment banking layouts\nIf the spreadsheet is an IB-style model (LBO, DCF, 3-statement, valuation):\n- Totals should sum the range directly above.\n- Hide 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comments.",{"type":50,"tag":59,"props":668,"children":670},{"id":669},"investment-banking-layouts",[671],{"type":56,"value":672},"Investment banking layouts",{"type":50,"tag":91,"props":674,"children":675},{},[676],{"type":56,"value":677},"If the spreadsheet is an IB-style model (LBO, DCF, 3-statement, valuation):",{"type":50,"tag":66,"props":679,"children":680},{},[681,686,691,696,701],{"type":50,"tag":70,"props":682,"children":683},{},[684],{"type":56,"value":685},"Totals should sum the range directly above.",{"type":50,"tag":70,"props":687,"children":688},{},[689],{"type":56,"value":690},"Hide gridlines; use horizontal borders above totals across relevant columns.",{"type":50,"tag":70,"props":692,"children":693},{},[694],{"type":56,"value":695},"Section headers should be merged cells with dark fill and white text.",{"type":50,"tag":70,"props":697,"children":698},{},[699],{"type":56,"value":700},"Column labels for numeric data should be right-aligned; row labels left-aligned.",{"type":50,"tag":70,"props":702,"children":703},{},[704],{"type":56,"value":705},"Indent submetrics under their parent line items.",{"type":50,"tag":59,"props":707,"children":709},{"id":708},"when-not-to-use",[710],{"type":56,"value":711},"When NOT to Use",{"items":713,"total":871},[714,735,745,765,780,793,803,813,826,837,849,860],{"slug":715,"name":715,"fn":716,"description":717,"org":718,"tags":719,"stars":732,"repoUrl":733,"updatedAt":734},"address-sanitizer","detect memory errors during fuzzing","AddressSanitizer detects memory errors during fuzzing. Use when fuzzing C\u002FC++ code to find buffer overflows and use-after-free bugs.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[720,723,726,729],{"name":721,"slug":722,"type":16},"C#","c",{"name":724,"slug":725,"type":16},"Debugging","debugging",{"name":727,"slug":728,"type":16},"Security","security",{"name":730,"slug":731,"type":16},"Testing","testing",6139,"https:\u002F\u002Fgithub.com\u002Ftrailofbits\u002Fskills","2026-07-17T06:05:14.925095",{"slug":736,"name":736,"fn":737,"description":738,"org":739,"tags":740,"stars":732,"repoUrl":733,"updatedAt":744},"aflpp","perform multi-core fuzzing of C\u002FC++ projects","AFL++ is a fork of AFL with better fuzzing performance and advanced features. Use for multi-core fuzzing of C\u002FC++ projects.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[741,742,743],{"name":721,"slug":722,"type":16},{"name":727,"slug":728,"type":16},{"name":730,"slug":731,"type":16},"2026-07-17T06:05:12.433192",{"slug":746,"name":746,"fn":747,"description":748,"org":749,"tags":750,"stars":732,"repoUrl":733,"updatedAt":764},"agentic-actions-auditor","audit GitHub Actions for security vulnerabilities","Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI\u002FCD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI\u002FCD pipeline security for prompt injection risks, or evaluating agentic action configurations.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[751,754,757,760,763],{"name":752,"slug":753,"type":16},"Agents","agents",{"name":755,"slug":756,"type":16},"CI\u002FCD","ci-cd",{"name":758,"slug":759,"type":16},"Code Analysis","code-analysis",{"name":761,"slug":762,"type":16},"GitHub Actions","github-actions",{"name":727,"slug":728,"type":16},"2026-07-18T05:47:48.564744",{"slug":766,"name":766,"fn":767,"description":768,"org":769,"tags":770,"stars":732,"repoUrl":733,"updatedAt":779},"algorand-vulnerability-scanner","scan Algorand smart contracts for vulnerabilities","Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL\u002FPyTeal).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[771,774,775,776],{"name":772,"slug":773,"type":16},"Audit","audit",{"name":758,"slug":759,"type":16},{"name":727,"slug":728,"type":16},{"name":777,"slug":778,"type":16},"Smart Contracts","smart-contracts","2026-07-18T05:47:43.989063",{"slug":781,"name":781,"fn":782,"description":783,"org":784,"tags":785,"stars":732,"repoUrl":733,"updatedAt":792},"ask-questions-if-underspecified","clarify requirements before implementation","Clarify requirements before implementing. Use when serious doubts arise.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[786,789],{"name":787,"slug":788,"type":16},"Engineering","engineering",{"name":790,"slug":791,"type":16},"Productivity","productivity","2026-07-17T06:05:33.543262",{"slug":794,"name":794,"fn":795,"description":796,"org":797,"tags":798,"stars":732,"repoUrl":733,"updatedAt":802},"atheris","fuzz Python code with Atheris","Atheris is a coverage-guided Python fuzzer based on libFuzzer. Use for fuzzing pure Python code and Python C extensions.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[799,800,801],{"name":24,"slug":25,"type":16},{"name":727,"slug":728,"type":16},{"name":730,"slug":731,"type":16},"2026-07-17T06:05:14.575191",{"slug":804,"name":804,"fn":805,"description":806,"org":807,"tags":808,"stars":732,"repoUrl":733,"updatedAt":812},"audit-augmentation","augment code graphs with audit findings","Augments Trailmark code graphs with external audit findings from SARIF static analysis results, weAudit annotation files, and version-gated Trailmark 0.4.x binary-analysis graph exports. Maps findings to graph nodes by file and line overlap, creates severity-based subgraphs, and enables cross-referencing findings with pre-analysis data (blast radius, taint, etc.). Use when projecting SARIF results onto a code graph, overlaying weAudit annotations, importing binary graph findings, cross-referencing Semgrep, CodeQL, or binary-analysis findings with call graph data, or visualizing audit findings in the context of code structure.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[809,810,811],{"name":772,"slug":773,"type":16},{"name":758,"slug":759,"type":16},{"name":727,"slug":728,"type":16},"2026-08-01T05:44:54.920542",{"slug":814,"name":814,"fn":815,"description":816,"org":817,"tags":818,"stars":732,"repoUrl":733,"updatedAt":825},"audit-context-building","build architectural context for code analysis","Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[819,822,823,824],{"name":820,"slug":821,"type":16},"Architecture","architecture",{"name":772,"slug":773,"type":16},{"name":758,"slug":759,"type":16},{"name":787,"slug":788,"type":16},"2026-07-18T05:47:40.122449",{"slug":827,"name":827,"fn":828,"description":829,"org":830,"tags":831,"stars":732,"repoUrl":733,"updatedAt":836},"audit-prep-assistant","prepare codebases for security audits","Prepares codebases for security review using Trail of Bits' checklist. Helps set review goals, runs static analysis tools, increases test coverage, removes dead code, ensures accessibility, and generates documentation (flowcharts, user stories, inline comments).",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[832,833,834,835],{"name":772,"slug":773,"type":16},{"name":758,"slug":759,"type":16},{"name":787,"slug":788,"type":16},{"name":727,"slug":728,"type":16},"2026-07-18T05:47:39.210985",{"slug":838,"name":838,"fn":839,"description":840,"org":841,"tags":842,"stars":732,"repoUrl":733,"updatedAt":848},"burpsuite-project-parser","parse Burp Suite project files","Searches and explores Burp Suite project files (.burp) from the command line. Use when searching response headers or bodies with regex patterns, extracting security audit findings, dumping proxy history or site map data, or analyzing HTTP traffic captured in a Burp project.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[843,844,847],{"name":772,"slug":773,"type":16},{"name":845,"slug":846,"type":16},"CLI","cli",{"name":727,"slug":728,"type":16},"2026-07-17T06:05:33.198077",{"slug":850,"name":850,"fn":851,"description":852,"org":853,"tags":854,"stars":732,"repoUrl":733,"updatedAt":859},"c-review","audit C and C++ code","Performs comprehensive C\u002FC++ security review for memory corruption, integer overflows, race conditions, and platform-specific vulnerabilities. Use when auditing native C\u002FC++ applications, reviewing daemons or services for memory safety, or hunting integer overflow \u002F use-after-free \u002F race conditions in userspace code.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[855,856,857,858],{"name":772,"slug":773,"type":16},{"name":721,"slug":722,"type":16},{"name":758,"slug":759,"type":16},{"name":727,"slug":728,"type":16},"2026-07-17T06:05:11.333374",{"slug":861,"name":861,"fn":862,"description":863,"org":864,"tags":865,"stars":732,"repoUrl":733,"updatedAt":870},"cairo-vulnerability-scanner","scan Cairo and StarkNet contracts for vulnerabilities","Scans Cairo\u002FStarkNet smart contracts for 6 critical vulnerabilities including felt252 arithmetic overflow, L1-L2 messaging issues, address conversion problems, and signature replay. Use when auditing StarkNet projects.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[866,867,868,869],{"name":772,"slug":773,"type":16},{"name":758,"slug":759,"type":16},{"name":727,"slug":728,"type":16},{"name":777,"slug":778,"type":16},"2026-07-18T05:47:42.84568",111,{"items":873,"total":974},[874,884,894,913,925,941,955],{"slug":875,"name":875,"fn":876,"description":877,"org":878,"tags":879,"stars":26,"repoUrl":27,"updatedAt":883},"ffuf-web-fuzzing","perform web fuzzing with ffuf","Expert guidance for ffuf web fuzzing during authorized penetration testing. Covers directory discovery, subdomain enumeration, parameter fuzzing, authenticated fuzzing with raw requests, auto-calibration, and result analysis. Use when running ffuf scans, analyzing ffuf output, or building fuzzing strategies for web targets.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[880,881,882],{"name":758,"slug":759,"type":16},{"name":727,"slug":728,"type":16},{"name":730,"slug":731,"type":16},"2026-07-17T06:05:08.247908",{"slug":885,"name":885,"fn":886,"description":887,"org":888,"tags":889,"stars":26,"repoUrl":27,"updatedAt":893},"ghidra-headless","reverse engineer binaries with Ghidra","Reverse engineers binaries using Ghidra's headless analyzer. Use when decompiling executables, extracting functions, strings, symbols, or analyzing call graphs from compiled binaries without the Ghidra GUI.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[890,891,892],{"name":758,"slug":759,"type":16},{"name":724,"slug":725,"type":16},{"name":727,"slug":728,"type":16},"2026-07-18T05:47:30.015093",{"slug":895,"name":895,"fn":896,"description":897,"org":898,"tags":899,"stars":26,"repoUrl":27,"updatedAt":912},"grilling","stress-test plans and decisions","Interviews the user relentlessly about a plan, decision, or idea until every branch of the decision tree is resolved. Use when the user wants to stress-test their thinking, sharpen a plan or design before acting, or uses any 'grill' trigger phrase (e.g. \"grill me on this\").",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[900,903,906,909],{"name":901,"slug":902,"type":16},"Analysis","analysis",{"name":904,"slug":905,"type":16},"Coaching","coaching",{"name":907,"slug":908,"type":16},"Ideation","ideation",{"name":910,"slug":911,"type":16},"Strategy","strategy","2026-07-18T05:48:12.46583",{"slug":914,"name":914,"fn":915,"description":916,"org":917,"tags":918,"stars":26,"repoUrl":27,"updatedAt":924},"handoff","compact conversation for session handoff","Compacts the current conversation into a handoff document so a fresh agent can continue the work in a new session.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[919,920,923],{"name":752,"slug":753,"type":16},{"name":921,"slug":922,"type":16},"Context","context",{"name":790,"slug":791,"type":16},"2026-07-18T05:47:03.196098",{"slug":926,"name":926,"fn":927,"description":928,"org":929,"tags":930,"stars":26,"repoUrl":27,"updatedAt":940},"humanizer","edit text to sound human-written","Remove signs of AI-generated writing from text. Use when editing or reviewing\ntext to make it sound more natural and human-written. Based on Wikipedia's\ncomprehensive \"Signs of AI writing\" guide. Detects and fixes patterns including:\ninflated symbolism, promotional language, superficial -ing analyses, vague\nattributions, em dash overuse, rule of three, AI vocabulary words, negative\nparallelisms, and excessive conjunctive phrases. 30c5c8d (Update humanizer plugin to upstream v2.2.0)\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[931,934,937],{"name":932,"slug":933,"type":16},"Content Creation","content-creation",{"name":935,"slug":936,"type":16},"Editing","editing",{"name":938,"slug":939,"type":16},"Writing","writing","2026-07-18T05:47:18.1749",{"slug":942,"name":942,"fn":943,"description":944,"org":945,"tags":946,"stars":26,"repoUrl":27,"updatedAt":954},"last30days","research recent community discussions and trends","Researches a topic from the last 30 days on Reddit, X, and the web. Surfaces real community discussions with engagement metrics and synthesizes findings into actionable insights. Use when the user wants to know what people are saying about a topic right now.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[947,948,951],{"name":901,"slug":902,"type":16},{"name":949,"slug":950,"type":16},"Research","research",{"name":952,"slug":953,"type":16},"Social Media","social-media","2026-07-17T06:04:39.744471",{"slug":956,"name":956,"fn":957,"description":958,"org":959,"tags":960,"stars":26,"repoUrl":27,"updatedAt":973},"openai-cloudflare-deploy","deploy applications to Cloudflare","Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare. Originally from OpenAI's curated skills catalog.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},[961,964,967,970],{"name":962,"slug":963,"type":16},"Cloudflare","cloudflare",{"name":965,"slug":966,"type":16},"Cloudflare Pages","cloudflare-pages",{"name":968,"slug":969,"type":16},"Cloudflare Workers","cloudflare-workers",{"name":971,"slug":972,"type":16},"Deployment","deployment","2026-07-17T06:04:46.574433",31]