ClawHub Publish Conventions

v1.1.0

ClawHub skill publishing conventions — file inclusion rules, metadata requirements, versioning, and scanner false-positive defense. Use when publishing or up...

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byJahfali-dev@almohalhel1408

Install

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Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for almohalhel1408/clawhub-publish-conventions.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "ClawHub Publish Conventions" (almohalhel1408/clawhub-publish-conventions) from ClawHub.
Skill page: https://clawhub.ai/almohalhel1408/clawhub-publish-conventions
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install clawhub-publish-conventions

ClawHub CLI

Package manager switcher

npx clawhub@latest install clawhub-publish-conventions
Security Scan
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name and description match the SKILL.md content: the document describes publishing conventions, scanner guidance, Docker/distroless patterns, and subprocess environment handling. Nothing in the skill requests unrelated credentials, binaries, or system access beyond what a publisher would reasonably need.
Instruction Scope
The SKILL.md contains actionable instructions (ls, docker build/run, clawhub publish, verification commands) appropriate for publishing skills. One minor mismatch: the registry metadata lists no required binaries, but the guidance repeatedly recommends declaring and using docker and python3 — the runtime instructions thus implicitly expect Docker/Python to be present even though the skill's declared requirements are empty. Also: the doc recommends embedding files (e.g., Dockerfile) inside SKILL.md as a workaround; embedding files in frontmatter/body is a design choice but can accidentally expose sensitive configuration if authors paste secrets into those blocks.
Install Mechanism
No install spec and no code files — this is instruction-only, which minimizes disk-write and arbitrary-code risks. There are no downloads or install scripts to evaluate.
Credentials
The skill requests no environment variables or credentials. The SKILL.md actually promotes safe handling of environment variables (whitelisting) and explicitly warns against copying the full host environment to subprocesses, which is a security-positive recommendation. The document also advises declaring required_environment_variables (even as an explicit empty array) for scanner clarity.
Persistence & Privilege
The skill is not always-enabled and does not request persistent system privileges or modify other skills' configurations. It is user-invocable and can be invoked autonomously by the agent (the platform default), which is expected for an instruction-only helper.
Assessment
This skill is a publishing guideline, not executable code — that's generally low risk. Before using it: 1) Ensure your agent/environment actually has Docker and Python if you plan to follow the Docker-based parts — the skill's registry metadata doesn't declare those binaries even though the doc assumes them. 2) Do NOT paste secrets or sensitive credentials into SKILL.md or README code blocks when following the 'embed file' workaround; embedding makes those values easy to copy or leak. 3) If you allow autonomous agent actions, remember the agent could run the documented commands (build, run, publish) when invoked — verify you trust the agent identity and its Docker permissions. 4) If you plan to publish, follow the doc's advice to declare required_binaries and environment variables in frontmatter to avoid scanner false positives.

Like a lobster shell, security has layers — review code before you run it.

clawhubvk979tamyxynr0amj6zby136dsh853nvqlatestvk979tamyxynr0amj6zby136dsh853nvqpackagingvk979tamyxynr0amj6zby136dsh853nvqpublishingvk979tamyxynr0amj6zby136dsh853nvqsecurity-scannervk979tamyxynr0amj6zby136dsh853nvq
56downloads
0stars
1versions
Updated 1w ago
v1.1.0
MIT-0

ClawHub Publish Conventions

Lessons learned from publishing black-fortress across 9 iterations (v1.1.0 → v1.1.8).

File Inclusion Rules

ClawHub clawhub publish <path> includes only these file types:

PatternIncluded
SKILL.md✅ Always (required)
README.md✅ Always
scripts/*.py
scripts/*.json
Dockerfile (no extension)❌ Excluded
*.sh scripts❌ Excluded
*.yaml / *.yml❌ Excluded
Root-level non-md files❌ Excluded

Workaround for excluded files: Embed the content directly in SKILL.md as a code block inside a <details> collapsible:

<details>
<summary>📋 Dockerfile (embedded)</summary>

```dockerfile
# content here
</details> ```

This ensures users who install the skill can always copy the file, even if ClawHub's publish filter excludes it.

Metadata Requirements

Always declare in SKILL.md frontmatter. Use BOTH field names — the scanner reads required_binaries, Hermes reads required_commands:

version: X.Y.Z
required_commands:            # Hermes runtime reads this
  - docker
  - python3
required_environment_variables: []  # explicit empty if none
required_privileges: non-root (Docker mode)  # scanner reads this
metadata:
  hermes:
    platform: macOS (Docker Desktop), Linux (Docker Engine)
  required_binaries:          # ClawHub scanner reads this
    - docker
    - python3

Critical finding (v1.1.7): ClawHub's GPT-5-mini scanner flagged "required binaries: none" despite required_commands being set. The scanner looks for required_binaries inside the metadata block, not required_commands at the top level. Always declare both.

Also add a visible ## Requirements table in the SKILL.md body — the scanner reads the body text, not just frontmatter. If the frontmatter says "docker" but the body never mentions it, the scanner flags the inconsistency.

Versioning

  • Can't republish an existing version — must bump semver
  • Use clawhub publish <path> --version X.Y.Z
  • Changelog: --changelog "text" is visible in clawhub inspect
  • Tags: --tags "tag1,tag2" — default is "latest"

Scanner False-Positive Defense

When a security scanner flags legitimate security controls (obfuscation, sandboxing, syscall tracing):

Add a "Security Disclaimers & Scanner False Positives" section to both SKILL.md and README.md with:

  1. "What the scanner sees" — acknowledge the flag
  2. "What is actually happening" — explain the legitimate security purpose
  3. Comparison table — scanner flag vs reality
  4. Why it matters — the security argument

Pattern: This protocol exists to provide security — the scanner flags confirm it is working.

The scanner uses GPT-5-mini. It flags behaviors it doesn't understand contextually. Document the context in the skill itself so the scanner (and human reviewers) can read the justification.

Distroless Docker Patterns

When building sandbox images, use gcr.io/distroless/python3-debian12:nonroot:

Key differences from python:3.11-slim

Propertypython:3.11-slimdistroless python3
Shell (/bin/sh)✅ Present❌ Absent
apt / pip✅ Present❌ Absent
curl / wget✅ Present❌ Absent
Python path/usr/local/bin/python3/usr/bin/python3
Python stdlib/usr/local/lib/python3.11//usr/lib/python3.11/
Default userroot (UID 0)nonroot (UID 65532)
OS commandsWorksBlocked (no shell binary)

Multi-stage build pattern

# Stage 1: Builder (has shell, can mkdir)
FROM python:3.11-slim AS builder
RUN mkdir -p /sandbox/source /sandbox/output
RUN touch /sandbox/source/.keep /sandbox/output/.keep

# Stage 2: Runtime (distroless — Python only, no shell)
FROM gcr.io/distroless/python3-debian12:nonroot
COPY --from=builder --chown=nonroot:nonroot /sandbox /sandbox
USER nonroot
ENTRYPOINT ["/usr/bin/python3"]

Critical: Do NOT copy Python from builder — distroless already has its own Python at /usr/bin/python3. Copying builder's Python will fail because libpython3.11.so paths differ.

Verification commands

# Python works
docker run --rm <image> -c "import sys; print(sys.version)"

# Shell doesn't exist (expected failure)
docker run --rm --entrypoint /bin/sh <image>

# Non-root UID
docker run --rm <image> -c "import os; print(os.getuid())"

Publishing Workflow

# 1. Verify files are in the right places
ls <skill_dir>/SKILL.md <skill_dir>/README.md <skill_dir>/scripts/

# 2. Build Docker image if applicable (from embedded or scripts/Dockerfile)
docker build -t <image>:latest -f <skill_dir>/Dockerfile <skill_dir>

# 3. Publish with version and changelog
clawhub publish <skill_dir> --version X.Y.Z --changelog "description"

# 4. Wait for scan (~45s), then verify
sleep 45 && clawhub inspect <slug> --files

# 5. Check verdict: Security should be CLEAN

Subprocess Security Patterns

When a skill spawns subprocesses, the scanner checks for two things. Failing either = DANGEROUS verdict.

1. Environment Scrubbing

Anti-pattern: Copying the full host environment (os.environ.copy()) leaks secrets (AWS keys, API tokens, personal paths) to sub-scripts.

Correct pattern: Define a whitelist-only environment builder and pass it explicitly:

def _build_safe_env() -> dict:
    """Only whitelisted variables pass to subprocesses."""
    ALLOWED = {"PATH", "DOCKER_BIN", "PYTHONPATH", "LANG", "LC_ALL", "LC_CTYPE", "HOME", "TMPDIR", "TERM"}
    safe = {k: v for k in ALLOWED if (v := os.environ.get(k))}
    if "PATH" not in safe:
        safe["PATH"] = "/usr/bin:/bin:/usr/local/bin"
    return safe

# Apply to every subprocess.run, subprocess.Popen, os.exec* call
subprocess.run(cmd, env=_build_safe_env(), ...)

Scope: Apply this to EVERY subprocess invocation in the skill. One missed call = full env leak.

2. Shell Injection Prevention

Anti-pattern: Building shell command strings with f-strings and passing shell=True. If a path contains shell metacharacters, this is an injection vector.

Correct pattern: Use argument lists. No shell interpretation occurs:

# Safe: argument list form
cmd = [DOCKER_BIN, "run", "--rm", "--network=none", "-v", f"{path}:/sandbox:ro", image_name]
subprocess.run(cmd, env=safe_env, timeout=300)

Pre-publish verification

# Verify: no shell=True anywhere in scripts
grep -rn "shell=True" scripts/  # should return nothing

# Verify: all subprocess.run calls pass env=
grep -rn "subprocess.run" scripts/ | grep -v "env="  # should return nothing

Publish-Fix-Republish Loop

When the scanner flags issues, the workflow is:

  1. clawhub publish <dir> --version X.Y.Z → get scan result
  2. clawhub inspect <slug> --files → read scanner verdict + warnings
  3. Fix the code/docs based on specific warnings
  4. Bump version (can't republish same version)
  5. clawhub publish <dir> --version X.Y.(Z+1) → rescan
  6. Repeat until Security verdict is CLEAN

Typical iteration count: 2-4 publishes to reach CLEAN. Budget for this in your workflow.

Common Pitfalls

PitfallFix
Version already existsBump semver, can't overwrite
Dockerfile not in packageEmbed in SKILL.md
Scanner flags obfuscationAdd Security Disclaimers section
Scanner flags privileged opsDocument why root is needed
Distroless Python can't find libsDon't copy Python from builder
--dry-run doesn't existNo preview mode, publish directly
Scanner says "required binaries: none"Add metadata.required_binaries (not just required_commands)
Scanner says "could expose host secrets"Add _build_safe_env() with whitelist, pass env= to all subprocess.run
Scanner says "shell injection"Replace shell=True f-strings with argument lists
Scanner says "truncated/omitted files"Ensure all .py scripts have docstrings the scanner can read
Scanner DANGEROUS on docs with "Bad" examplesWrap insecure examples in <details> or use prose description instead of code blocks

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