Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Stegstr
Decode and embed Stegstr payloads in PNG images. Use when the user needs to extract hidden Nostr data from a Stegstr image, encode a payload into a cover PNG, or work with steganographic social networking (Nostr-in-images). Supports CLI (stegstr-cli decode, detect, embed, post) for scripts and AI agents.
skill openclawclawhub Free
Decode and embed Stegstr payloads in PNG images. Use when the user needs to extract hidden Nostr data from a Stegstr image, encode a payload into a cover PNG, or work with steganographic social networking (Nostr-in-images). Supports CLI (stegstr-cli decode, detect, embed, post) for scripts and AI agents.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, install.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- brunkstr
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Stegstr
Stegstr hides Nostr messages and arbitrary payloads inside PNG images using steganography. Users embed their feed (posts, DMs, JSON) into images and share them; recipients use Detect to load the hidden content. No registration, works offline.
When to use this skill
User wants to decode (extract) hidden data from a PNG that contains Stegstr data. User wants to embed a payload into a cover PNG (e.g. Nostr bundle, JSON, text). User mentions steganography, Nostr-in-images, Stegstr, hiding data in images, or secret messages in photos. User needs programmatic access for automation, scripts, or AI agents.
CLI (headless)
Build the CLI from the Stegstr repo: git clone https://github.com/brunkstr/Stegstr.git cd Stegstr/src-tauri cargo build --release --bin stegstr-cli Binary: target/release/stegstr-cli (or stegstr-cli.exe on Windows).
Decode (extract payload)
stegstr-cli decode image.png Writes raw payload to stdout. Valid UTF-8 JSON is printed as text; otherwise base64:<data>. Exit 0 on success.
Detect (decode + decrypt app bundle)
stegstr-cli detect image.png Decodes and decrypts; prints Nostr bundle JSON { "version": 1, "events": [...] }.
Embed (hide payload in image)
stegstr-cli embed cover.png -o out.png --payload "text or JSON" stegstr-cli embed cover.png -o out.png --payload @bundle.json stegstr-cli embed cover.png -o out.png --payload @bundle.json --encrypt Use --payload @file to load from file. Use --encrypt so any Stegstr user can detect. Use --payload-base64 <base64> for binary payloads.
Post (create kind 1 note bundle)
stegstr-cli post "Your message here" --output bundle.json stegstr-cli post "Message" --privkey-hex <64-char-hex> --output bundle.json Creates a Nostr bundle; use stegstr-cli embed to hide it in an image.
Example workflow
# Create a post bundle stegstr-cli post "Hello from OpenClaw" --output bundle.json # Embed into a cover image (encrypted for any Stegstr user) stegstr-cli embed cover.png -o stego.png --payload @bundle.json --encrypt # Recipient detects and extracts stegstr-cli detect stego.png
Image format
PNG only (lossless). JPEG or other lossy formats will corrupt the hidden data.
Payload format
Magic: STEGSTR (7 bytes ASCII) Length: 4 bytes, big-endian Payload: UTF-8 JSON or raw bytes (desktop app encrypts; CLI can embed raw or --encrypt) Decrypted bundle: { "version": 1, "events": [ ... Nostr events ... ] }. Schema: bundle.schema.json.
Links
agents.txt: https://www.stegstr.com/agents.txt For agents: https://www.stegstr.com/wiki/for-agents.html CLI docs: https://www.stegstr.com/wiki/cli.html Downloads: https://github.com/brunkstr/Stegstr/releases/latest
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts
- SKILL.md
- README.md
- install.sh