security-guard
Skill10 starsChanged 6 days agoMITView on GitHub
Screens text and Python sources before dispatch: prompt-injection markers in external text, and an AST walk for dangerous call sites (`eval`, `exec`, `os.system`, `subprocess.*`). A screen, not a sandbox.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- automacoescomerciaisintegradas/skillstheir own version, first seen Oct 13, 2026
- qyndex/claude-inittheir own version, first seen Oct 13, 2026
- TheElephantCoder/agent-harnesstheir own version, first seen Sep 20, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- TheElephantCoder/agent-harness★ 3same name
- qyndex/claude-init★ 2same name
- automacoescomerciaisintegradas/skills★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository22 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .github/copilot-instructions.mdCopilot instructions
- .cursor/rules/chelate-shell.mdcCursor rule
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 25
Run this exact form — do not read the source tree:
- Distinctive: line 54
A screen, not a sandbox: Never describe a pass as "safe".
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
security-guard
Flags known injection markers and dangerous call sites so a later stage can refuse the input. It reports risk; it cannot prove a file is safe.
- Stage:
infrastructure· Sandbox: no · Dependencies: stdlib only
Quick Execution
Run this exact form — do not read the source tree:
python run.py --root <WS> --action gate --input draft.md --mode auto--mode {text,source,auto}picks the scanner;autodecides from the file.--jsonemits the raw report.- The gate lands in
<WS>/process/gates/security-guard_<ts>.json.
When to use
- Untrusted text is about to enter the pipeline.
- A Python file must be checked for dangerous calls before it runs.
When NOT to use
- You need containment — that is the sandbox, not this skill.
- The input is already trusted, first-party data.
Actions
--action | Does | Extra arguments |
gate | Screen and emit a gate result | --input <path|text> [--mode text|source|auto] [--json] |
scan | Screen without gating | same arguments |
Hard constraints
- A screen, not a sandbox. Never describe a pass as "safe".
- Report the marker and its line, never a rewritten file.
Outputs
<WS>/process/gates/security-guard_<ts>.json— the gate result with every hit listed.
Failure handling
- An unreadable input exits non-zero with a clear message.
- A clean input is a pass with an explicit "no marker found" note.
Limitations
- Marker and AST heuristics only; unknown attack shapes pass.
- It never modifies the screened file.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

