when-detecting-fake-code-use-theater-detection
Detect Theater Code Before Release
Code can look complete while missing real behavior. This skill helps Claude, Codex, and Claude Code test implementations against actual execution evidence.
Stop for confirmation before installing.
Review the plan and obtain explicit user consent before changing files.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "when-detecting-fake-code-use-theater-detection" from https://skillstore.io/skills/dnyoussef-when-detecting-fake-code-use-theater-detection.md and its manifest at https://skillstore.io/api/skills/dnyoussef-when-detecting-fake-code-use-theater-detection/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "when-detecting-fake-code-use-theater-detection". Scan a new payment module before merge.
Expected outcome:
A reviewer-ready report listing suspicious functions, confidence scores, execution evidence, and required fixes.
Using "when-detecting-fake-code-use-theater-detection". Check tests that appear too simple.
Expected outcome:
A finding that explains which tests never exercise product code and how to replace them with behavior checks.
Using "when-detecting-fake-code-use-theater-detection". Validate a flagged repository in CI.
Expected outcome:
A release gate summary with confirmed issues, false positives, and whether deployment should continue.
Security Audit
High RiskMost static hits are false positives from Markdown fences, JavaScript template literals, regular expressions, Object.keys calls, and local report-generation snippets. Confirmed risk remains because the workflow can dynamically load and execute audited repository code, and the fix phase can rewrite many files. No prompt injection evidence was found in the reviewed files.
Confirmed security concerns (2)
Capability review items (4)
These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.
Risk Factors
⚡ Contains scripts (4)
⚙️ External commands (156)
📁 Filesystem access (53)
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https://skillstore.io/skills/dnyoussef-when-detecting-fake-code-use-theater-detection/audits/8?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown badge
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<iframe src="https://skillstore.io/embed/skills/dnyoussef-when-detecting-fake-code-use-theater-detection.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
DNYoussef. (2026). when-detecting-fake-code-use-theater-detection security audit report (audit version 8) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dnyoussef-when-detecting-fake-code-use-theater-detection/audits/8BibTeX citation
@techreport{dnyoussef-dnyoussef-when-detecting-fake-code-use-theater-detection-2026,
author = {DNYoussef},
title = {when-detecting-fake-code-use-theater-detection security audit report (audit version 8)},
institution = {Skillstore},
year = {2026},
number = {8},
url = {https://skillstore.io/skills/dnyoussef-when-detecting-fake-code-use-theater-detection/audits/8},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "when-detecting-fake-code-use-theater-detection security audit report (audit version 8)"
version: "unspecified"
type: report
authors:
- name: "DNYoussef"
date-released: "2026-07-05"
url: "https://skillstore.io/skills/dnyoussef-when-detecting-fake-code-use-theater-detection/audits/8"
identifiers:
- type: other
value: "skillstore:dnyoussef-when-detecting-fake-code-use-theater-detection:audit:8"
description: "Skillstore immutable audit report identifier"
Skillstore Score
Why this score Evidence Confidence: MediumWhat You Can Build
Review AI-Generated Pull Requests
Check whether new code performs real work before it reaches the main branch.
Audit Critical Security Logic
Find fake validation, empty error handling, and tests that create false confidence.
Add Release Quality Gates
Run theater detection before deployment and produce a report for release approval.
Try These Prompts
Use theater detection on this repository. Identify obvious no-op functions, empty catches, and always-passing tests.
Scan the src/auth directory for theater code. Explain each finding with evidence and confidence.
Validate the flagged implementations by running behavior checks in a sandbox. Separate confirmed theater code from false positives.
Run a full theater detection workflow. Produce prioritized findings, residual risks, and required fixes before release.
Best Practices
- Run execution validation inside a disposable container or isolated workspace.
- Review generated findings before applying any automated fixes.
- Pair heuristic results with domain knowledge from the owning team.
Avoid
- Do not run dynamic validation against untrusted repositories on a developer workstation.
- Do not treat pattern matches as confirmed issues without execution or semantic review.
- Do not apply repository-wide fixes without checking the diff first.
Frequently Asked Questions
What is theater code?
Can this skill prove all code is correct?
Does it modify files?
Should I run it on untrusted code?
Which tools does it support?
Why are confidence scores useful?
Developer Details
Author
DNYoussefLicense
MIT
Skillstore revision
r1
Version notice
The author did not declare a version.
Ref
c579efd02184f1128d6741d16e6c8d951d7d4208
Maintenance freshness
7/18/2026
Usage
4 downloads · 206 views
File structure