PDF Toolkit
borghei/Claude-Skills
Audit PDF files for metadata leakage, page count, encryption, JavaScript, embedded files, and version.
Agent skill
Analyzing Malicious PDF With Peepdf
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
Install Analyzing Malicious PDF With Peepdf
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-malicious-pdf-with-peepdf --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/analyzing-malicious-pdf-with-peepdf .claude/skills/analyzing-malicious-pdf-with-peepdf && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "analyzing-malicious-pdf-with-peepdf" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-malicious-pdf-with-peepdf into .claude/skills/analyzing-malicious-pdf-with-peepdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-malicious-pdf-with-peepdf", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-malicious-pdf-with-peepdfType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-malicious-pdf-with-peepdf --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/analyzing-malicious-pdf-with-peepdf .agents/skills/analyzing-malicious-pdf-with-peepdf && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "analyzing-malicious-pdf-with-peepdf" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-malicious-pdf-with-peepdf into .agents/skills/analyzing-malicious-pdf-with-peepdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-malicious-pdf-with-peepdf", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-malicious-pdf-with-peepdf --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/analyzing-malicious-pdf-with-peepdf .cursor/skills/analyzing-malicious-pdf-with-peepdf && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "analyzing-malicious-pdf-with-peepdf" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-malicious-pdf-with-peepdf into .cursor/skills/analyzing-malicious-pdf-with-peepdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-malicious-pdf-with-peepdf", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/analyzing-malicious-pdf-with-peepdf--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-malicious-pdf-with-peepdf --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/analyzing-malicious-pdf-with-peepdf .gemini/skills/analyzing-malicious-pdf-with-peepdf && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "analyzing-malicious-pdf-with-peepdf" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-malicious-pdf-with-peepdf into .gemini/skills/analyzing-malicious-pdf-with-peepdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-malicious-pdf-with-peepdf", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-malicious-pdf-with-peepdfInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/analyzing-malicious-pdf-with-peepdf .github/skills/analyzing-malicious-pdf-with-peepdf && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "analyzing-malicious-pdf-with-peepdf" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-malicious-pdf-with-peepdf into .github/skills/analyzing-malicious-pdf-with-peepdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-malicious-pdf-with-peepdf", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills analyzing-malicious-pdf-with-peepdf --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/analyzing-malicious-pdf-with-peepdf .opencode/skills/analyzing-malicious-pdf-with-peepdf && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "analyzing-malicious-pdf-with-peepdf" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/analyzing-malicious-pdf-with-peepdf into .opencode/skills/analyzing-malicious-pdf-with-peepdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "analyzing-malicious-pdf-with-peepdf", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
analyzing-malicious-pdf-with-peepdf- GitHub stars
- 34k
- Token cost
- ~799 tokens
- SKILL.md length
- 255 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 644
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
- Works in 7 steps: Triage with pdfid: Scan PDF for… → Interactive Analysis: Open PDF in peepdf… → Identify Suspicious Objects: Locate… → …
- Triaging a suspicious PDF attachment from a phishing email
- SKILL.md covers When to Use, Prerequisites, Workflow and Key Concepts, plus 2 more sections
- Runs Python scripts from its folder
What it does
Analyzing Malicious PDF With Peepdf is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Use when triaging a suspicious PDF attachment from a phishing email, analyzing a PDF-based exploit document, or building detection signatures for weaponized PDF threats.
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in Documents & Office, covering PDF and Static analysis and SAST. It works with JavaScript. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
When your agent uses it
- Triaging a suspicious PDF attachment from a phishing email
- Analyzing a PDF-based exploit document
- Building detection signatures for weaponized PDF threats
Example prompts
- “/analyzing-malicious-pdf-with-peepdf”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Triage with pdfid: Scan PDF for suspicious keywords (/JS, /JavaScript, /OpenAction, /Launch, /EmbeddedFile).
- Interactive Analysis: Open PDF in peepdf interactive mode to explore object structure.
- Identify Suspicious Objects: Locate objects containing JavaScript, streams, or encoded data.
- Extract Content: Dump suspicious streams and decode filters (FlateDecode, ASCIIHexDecode).
- Deobfuscate JavaScript: Analyze extracted JS for shellcode, heap sprays, or exploit code.
- Check VirusTotal: Use peepdf vtcheck to cross-reference file hash with AV detections.
- Generate IOCs: Extract URLs, domains, hashes, and shellcode signatures.
What it can do on your machine
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Analyzing Malicious PDF With Peepdf loads about 799 tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 255 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 255 words, ~799 tokens.
Download SKILL.mdSave it as
.claude/skills/analyzing-malicious-pdf-with-peepdf/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- analyzing-malicious-pdf-with-peepdf
- description
- Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Use when triaging a suspicious PDF attachment from a phishing email, analyzing a PDF-based exploit document, or building detection signatures for weaponized PDF threats.
- domain
- cybersecurity
- subdomain
- malware-analysis
- tags
- malware-analysis, pdf, peepdf, pdfid, pdf-parser, static-analysis, reverse-engineering, dfir
- version
- 1.0
- author
- mahipal
- license
- Apache-2.0
- nist_csf
- DE.AE-02, RS.AN-03, ID.RA-01, DE.CM-01
- mitre_attack
- T1204.002, T1059.007, T1027, T1106
Analyzing Malicious PDF with peepdf
When to Use
- When triaging suspicious PDF attachments from phishing emails
- During malware analysis of PDF-based exploit documents
- When extracting embedded JavaScript, shellcode, or executables from PDFs
- For forensic examination of weaponized document artifacts
- When building detection signatures for PDF-based threats
Prerequisites
- Python 3.8+ with peepdf-3 installed (pip install peepdf-3)
- pdfid.py and pdf-parser.py from Didier Stevens suite
- Isolated analysis environment (VM or sandbox)
- Optional: PyV8 for JavaScript emulation within peepdf
- Optional: Pylibemu for shellcode analysis
Workflow
- Triage with pdfid: Scan PDF for suspicious keywords (/JS, /JavaScript, /OpenAction, /Launch, /EmbeddedFile).
- Interactive Analysis: Open PDF in peepdf interactive mode to explore object structure.
- Identify Suspicious Objects: Locate objects containing JavaScript, streams, or encoded data.
- Extract Content: Dump suspicious streams and decode filters (FlateDecode, ASCIIHexDecode).
- Deobfuscate JavaScript: Analyze extracted JS for shellcode, heap sprays, or exploit code.
- Check VirusTotal: Use peepdf vtcheck to cross-reference file hash with AV detections.
- Generate IOCs: Extract URLs, domains, hashes, and shellcode signatures.
Key Concepts
| Concept | Description |
|---|---|
| /OpenAction | Automatic action executed when PDF is opened |
| /JavaScript /JS | Embedded JavaScript code in PDF objects |
| /Launch | Action that launches external applications |
| /EmbeddedFile | File embedded within the PDF structure |
| FlateDecode | zlib compression filter used to hide content |
| Object Streams | PDF objects stored in compressed streams |
Tools & Systems
| Tool | Purpose |
|---|---|
| peepdf / peepdf-3 | Interactive PDF analysis with JS emulation |
| pdfid.py | Quick triage scanning for suspicious keywords |
| pdf-parser.py | Deep object-level PDF parsing |
| VirusTotal | Hash lookup and AV detection cross-reference |
| CyberChef | Decode and transform extracted payloads |
Output Format
Analysis Report: PDF-MAL-[DATE]-[SEQ]
File: [filename.pdf]
SHA-256: [hash]
Suspicious Keywords: [/JS, /OpenAction, etc.]
Objects with JavaScript: [Object IDs]
Extracted URLs: [List]
Shellcode Detected: [Yes/No]
Embedded Files: [Count and types]
VirusTotal Detections: [X/Y engines]
Risk Level: [Critical/High/Medium/Low]© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts, references) in skills/analyzing-malicious-pdf-with-peepdf of mukul975/Anthropic-Cybersecurity-Skills.
- SKILL.md
- LICENSE
- references/api-reference.md
- scripts/agent.py
Open the folder on GitHubat commit 54a7988
Compare with similar skills
Analyzing Malicious PDF With Peepdf next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Analyzing Malicious PDF With Peepdf this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~799 | Automated safety check: Pass | Apache-2.0 | |
| PDF Toolkitborghei/Claude-Skills | 891 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Jev SEOAgriciDaniel/jev-seo | 543 | — | ~2.5k | Automated safety check: Notes | MIT | |
| PDF Extraction Fallback 80956bHKUDS/OpenSpace | 7.8k | — | ~1.8k | Automated safety check: Pass | MIT | |
| PDF Extraction FallbacksHKUDS/OpenSpace | 7.8k | — | ~1.8k | Automated safety check: Pass | MIT | |
| PDF Extraction Fallbacks 7d54a9HKUDS/OpenSpace | 7.8k | — | ~2k | Automated safety check: Pass | MIT |
Similar skills
Jev SEO
AgriciDaniel/jev-seo
Full live SEO audit of any website from its homepage URL, powered by Jev (TypeSafe's System One model).
PDF Extraction Fallback 80956b
HKUDS/OpenSpace
Multi-fallback PDF download and text extraction with early failure detection
PDF Extraction Fallbacks
HKUDS/OpenSpace
Multi-fallback PDF/text extraction with early failure detection and sequential tool fallbacks
PDF Extraction Fallbacks 7d54a9
HKUDS/OpenSpace
Multi-fallback PDF extraction with sequential approaches and early failure detection
Edit PDF
SimplePDF/simplepdf-embed
Edit and fill PDF documents. An agent skill from SimplePDF/simplepdf-embed.
More from mukul975/Anthropic-Cybersecurity-Skills
All 644 skills in this repoCampaign Attribution Evidence Analysis
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
Go Malware Analysis in Ghidra
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
LNK and Jump List Forensics
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
Malware Persistence Analysis with Autoruns
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
NTFS MFT Deleted File Recovery
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
Network Covert Channel Analysis
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Related
Works with
Categories
Questions about Analyzing Malicious PDF With Peepdf
What does Analyzing Malicious PDF With Peepdf do?
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects. Analyzing Malicious PDF With Peepdf is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
When should I use Analyzing Malicious PDF With Peepdf?
Analyzing Malicious PDF With Peepdf fits situations like: triaging a suspicious PDF attachment from a phishing email; analyzing a PDF-based exploit document; building detection signatures for weaponized PDF threats.
How do I install Analyzing Malicious PDF With Peepdf in Claude Code?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf -a claude-code`. Or copy the skill folder (skills/analyzing-malicious-pdf-with-peepdf in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/analyzing-malicious-pdf-with-peepdf in your project. Claude Code loads it when a task matches its description.
How do I install Analyzing Malicious PDF With Peepdf in Codex?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf -a codex`. Or copy the skill folder (skills/analyzing-malicious-pdf-with-peepdf in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/analyzing-malicious-pdf-with-peepdf in your project. Codex loads it when a task matches its description.
Can I use Analyzing Malicious PDF With Peepdf in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill analyzing-malicious-pdf-with-peepdf -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyzing-malicious-pdf-with-peepdf, .gemini/skills/analyzing-malicious-pdf-with-peepdf, .github/skills/analyzing-malicious-pdf-with-peepdf and .opencode/skills/analyzing-malicious-pdf-with-peepdf in your project.
What does Analyzing Malicious PDF With Peepdf need to run?
Going by SKILL.md and its folder, Analyzing Malicious PDF With Peepdf needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Analyzing Malicious PDF With Peepdf access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Analyzing Malicious PDF With Peepdf safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Analyzing Malicious PDF With Peepdf use?
Analyzing Malicious PDF With Peepdf is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Analyzing Malicious PDF With Peepdf use?
About 799 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 830 tokens, read only when the agent opens those files.
What are the alternatives to Analyzing Malicious PDF With Peepdf?
Skills that share tags, products or a category with Analyzing Malicious PDF With Peepdf: PDF Toolkit (borghei/Claude-Skills, 891 stars), Jev SEO (AgriciDaniel/jev-seo, 543 stars), PDF Extraction Fallback 80956b (HKUDS/OpenSpace, 7.8k stars) and PDF Extraction Fallbacks (HKUDS/OpenSpace, 7.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Analyzing Malicious PDF With Peepdf?
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.