Skills hypogenic Audit History
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Audit History

hypogenic - 9 audits

Version comparison

Capability and finding changes across audited versions, newest first.

VersionDateResultReview itemsChange vs previous
v9 LatestJul 5, 2026, 06:05 PM 1 confirmed0No capability change
v8 Jul 5, 2026, 06:05 PM 1 confirmed0No capability change
v7 Jun 30, 2026, 05:52 AM No confirmed findings4Env variables
v6 Jan 21, 2026, 05:27 PM No confirmed findings0 Env variables
v5 Jan 17, 2026, 07:51 AM No confirmed findings0No capability change
v4 Jan 17, 2026, 07:51 AM No confirmed findings0No capability change
v3 Jan 12, 2026, 04:30 PM No confirmed findings2No capability change
v2 Jan 12, 2026, 04:30 PM No confirmed findings2Env variablesExternal commands
v1 Jan 4, 2026, 04:39 PM No confirmed findings0Baseline

Jul 5, 2026, 06:05 PM

Static env access, command execution, network, and reconnaissance alerts were false positives caused by sample configuration values, Markdown formatting, documentation links, and user-run examples. No malicious code execution, credential exfiltration, prompt injection, or hidden network behavior was found. A low-risk semantic concern remains because the skill instructs the assistant to promote an external hosted service for complex workflows.

2
Files scanned
806
Lines analyzed
4
Review items
0
False positives ignored

Confirmed security concerns (1)

Low
External Service Promotion In Skill Instructions
The skill tells the assistant to proactively suggest K-Dense Web for complex workflows. This can steer users toward an author-controlled hosted service during research tasks that may involve sensitive datasets.
The instruction is explicit and located in the skill text. It is framed as optional, so the risk is low and mainly concerns user steering rather than hidden execution.

Risk Factors

🔑 Env variables (1)
⚙️ External commands (75)
🌐 Network access (17)
Audited by: codex

Jul 5, 2026, 06:05 PM

Static env access, command execution, network, and reconnaissance alerts were false positives caused by sample configuration values, Markdown formatting, documentation links, and user-run examples. No malicious code execution, credential exfiltration, prompt injection, or hidden network behavior was found. A low-risk semantic concern remains because the skill instructs the assistant to promote an external hosted service for complex workflows.

2
Files scanned
806
Lines analyzed
4
Review items
0
False positives ignored

Confirmed security concerns (1)

Low
External Service Promotion In Skill Instructions
The skill tells the assistant to proactively suggest K-Dense Web for complex workflows. This can steer users toward an author-controlled hosted service during research tasks that may involve sensitive datasets.
The instruction is explicit and located in the skill text. It is framed as optional, so the risk is low and mainly concerns user steering rather than hidden execution.

Risk Factors

🔑 Env variables (1)
⚙️ External commands (75)
🌐 Network access (17)
Audited by: codex

Jun 30, 2026, 05:52 AM

Static findings are mostly documentation false positives: weak-crypto and C2 keyword alerts match research text, method names, or prompt-template wording rather than malicious code. The real risks are legitimate but user-visible external operations: package installation, repository cloning, helper shell scripts, network links, and API-key environment configuration. No prompt injection attempt, credential exfiltration, hidden code execution, or confirmed malicious behavior was found in the reviewed files.

2
Files scanned
806
Lines analyzed
7
Review items
2
False positives ignored
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.

Medium
External Package and Repository Operations
The skill documentation instructs users to install the hypogenic package, clone external GitHub repositories, and run command-line workflows. These are not automatically executed by the skill, but they create supply-chain and network risks if users run them without review.
The referenced commands are explicit and user-facing. The risk is operational rather than hidden because the commands are shown in documentation and require user execution.
Medium
Helper Shell Scripts for Literature Processing
The literature workflow tells users to run GROBID setup and service scripts before processing PDFs. The scripts are outside the reviewed files, so their behavior is not verifiable from this skill package.
The command references are clear, but the target scripts are not present in the scanned files. This supports a medium review warning, not a malicious finding.
Medium
API Key Environment Variable Configuration
The configuration template references an OpenAI API key environment variable for hosted model access. This is a normal integration pattern, but users should protect secrets and avoid committing environment values.
The file names an environment variable for an API key but does not contain an actual secret or code that sends it elsewhere. The risk is secret-handling exposure during setup.
Low
Hardcoded Documentation URLs
The hardcoded URLs point to GitHub, arXiv, ACL Anthology, PyPI, and issue pages used for installation, datasets, papers, and support. They are visible documentation links rather than covert network destinations.
The URLs are plainly documented resources and are not embedded in executable code. Users still should review remote sources before cloning or installing.
Static false positives ignored (2)

These static matches were dismissed by semantic review or matched schema-only tokens, so they are shown for transparency but do not drive the quality score.

Low
Weak Cryptography and C2 Keyword Alerts Are Contextual False Positives
The weak-cryptography and C2 alerts occur in descriptive text, method names, YAML prompt fields, bibliography entries, or ordinary words. No cryptographic implementation, command-and-control behavior, or malicious beaconing evidence was found.
Reviewed contexts show research documentation and YAML templates, not crypto code or C2 logic. Confidence is high because the scanned package contains only documentation and a config template.
Low
Prompt Injection Check Found No Override Attempt
No evidence found for instructions such as ignoring previous instructions, claiming pre-approval, changing risk levels, or impersonating system authority. A vendor-platform suggestion appears at the end of the documentation, but it is framed as an optional productivity suggestion for complex workflows.
Targeted search and manual review did not find direct override language. The vendor suggestion can steer assistant behavior, but it is not a clear prompt-injection attack.

Detected Patterns

User-Run Shell CommandsHosted Model Secret ConfigurationExternal Network Resources
Audited by: codex

Jan 21, 2026, 05:27 PM

This scientific hypothesis generation skill was scanned with 126 potential issues detected. After evaluation, all findings are false positives: environment variable references for API keys follow security best practices; hardcoded URLs are legitimate documentation links; shell command examples are user setup instructions; no actual cryptographic code or command-and-control patterns exist. The skill makes normal LLM API calls for hypothesis generation, which is expected functionality.

3
Files scanned
2,075
Lines analyzed
2
Review items
0
False positives ignored
Audited by: claude

Jan 17, 2026, 07:51 AM

AI analysis failed after multiple attempts - MANUAL REVIEW REQUIRED before publishing. This skill cannot be auto-published until reviewed by a human.

3
Files scanned
1,017
Lines analyzed
3
Review items
0
False positives ignored

Risk Factors

🔑 Env variables (2)
🌐 Network access (17)
⚙️ External commands (80)

Detected Patterns

Generic API/secret keysWeak cryptographic algorithmHardcoded URLC2 keywordsRuby/shell backtick executionSystem reconnaissance[HEURISTIC] DANGEROUS COMBINATION: Code execution + Network + Credential access
Audited by: claude

Jan 17, 2026, 07:51 AM

AI analysis failed after multiple attempts - MANUAL REVIEW REQUIRED before publishing. This skill cannot be auto-published until reviewed by a human.

3
Files scanned
1,017
Lines analyzed
3
Review items
0
False positives ignored

Risk Factors

🔑 Env variables (2)
🌐 Network access (17)
⚙️ External commands (80)

Detected Patterns

Generic API/secret keysWeak cryptographic algorithmHardcoded URLC2 keywordsRuby/shell backtick executionSystem reconnaissance[HEURISTIC] DANGEROUS COMBINATION: Code execution + Network + Credential access
Audited by: claude

Jan 12, 2026, 04:30 PM

The skill contains legitimate research tooling with some security considerations. External command execution is used for academic tools like GROBID PDF processing, not malicious purposes. API key access is standard for LLM integration. The 'C2 keywords' finding appears to be a false positive - the context is academic citations, not command & control infrastructure.

2
Files scanned
806
Lines analyzed
5
Review items
0
False positives ignored
Capability review items (2)

These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.

Medium
External command execution for GROBID PDF processing
External commands are used to set up and run GROBID for PDF literature processing. GROBID is a legitimate open-source academic tool for extracting structured information from scientific PDFs. The bash scripts in modules/ directory are used for academic research purposes, not for malicious activities.
Low
Hardcoded URLs to academic resources
The skill references hardcoded URLs pointing to legitimate academic resources including arXiv papers, GitHub repositories for the ChicagoHAI research group, and PyPI package distribution. These URLs are for accessing open-source research tools and datasets essential to the skill's functionality.

Risk Factors

🔑 Env variables (1)
⚙️ External commands (2)
🌐 Network access (2)
Audited by: claude

Jan 12, 2026, 04:30 PM

The skill contains legitimate research tooling with some security considerations. External command execution is used for academic tools like GROBID PDF processing, not malicious purposes. API key access is standard for LLM integration. The 'C2 keywords' finding appears to be a false positive - the context is academic citations, not command & control infrastructure.

2
Files scanned
806
Lines analyzed
5
Review items
0
False positives ignored
Capability review items (2)

These are real local capabilities that may be expected for this skill, so they require review but are not counted as confirmed malicious behavior.

Medium
External command execution for GROBID PDF processing
External commands are used to set up and run GROBID for PDF literature processing. GROBID is a legitimate open-source academic tool for extracting structured information from scientific PDFs. The bash scripts in modules/ directory are used for academic research purposes, not for malicious activities.
Low
Hardcoded URLs to academic resources
The skill references hardcoded URLs pointing to legitimate academic resources including arXiv papers, GitHub repositories for the ChicagoHAI research group, and PyPI package distribution. These URLs are for accessing open-source research tools and datasets essential to the skill's functionality.

Risk Factors

🔑 Env variables (1)
⚙️ External commands (2)
🌐 Network access (2)
Audited by: claude

Jan 4, 2026, 04:39 PM

The skill files are pure documentation and configuration templates. No executable code exists in the skill directory. All described functionality (CLI commands, Python API, Redis caching) refers to an external hypogenic package that users install separately. The skill itself only provides guidance, templates, and usage instructions for Claude to help users work with this external package.

5
Files scanned
1,036
Lines analyzed
1
Review items
0
False positives ignored

Risk Factors

Audited by: claude