el-gringo
PyPI
v1.1.0
Published by thegringo-ai — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 7 = 93. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −6 | capability blast radius (high) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
In the server's implementation (`elgringo/tools/base.py:102`): Reading private keys / cloud credentials, or serializing the whole environment, is a sensitive-data source that becomes exfiltration when combined with any egress. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: "~/.ssh", "~/.gnupg", "~/.aws/credentials", "/System", "/Library", "/bin", "/sbin", "/usr/bin", ] # Def
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/tools/base.py
In the server's implementation (`elgringo/intelligence/auto_failure_detector.py:87`): Evaluating strings as code is the most direct RCE primitive; if any tool input reaches it, the server executes attacker-chosen code. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: (r'eval\s*\(', "Use of eval() is a security risk", "critical"), (r'exec\s*\(', "Use of exec() is a security ris
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/intelligence/auto_failure_detector.py
In the server's implementation (`elgringo/validation/code_validator.py:286`): Evaluating strings as code is the most direct RCE primitive; if any tool input reaches it, the server executes attacker-chosen code. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: ', "Use of eval() is a security risk", "Avoid eval() - use safer alternatives like ast.literal
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/validation/code_validator.py
In the server's implementation (`elgringo/agents/specialists.py:210`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: mand_injection": "Avoid shell=True, use subprocess with list arguments, validate and sanitize inputs", "xss_
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/agents/specialists.py
In the server's implementation (`elgringo/apple/apple_shortcuts.py:210`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: y: result = subprocess.run( ["shortcuts", "list"], capture_output=True,
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/apple/apple_shortcuts.py
In the server's implementation (`elgringo/apple/coreml_agent.py:113`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: y: result = subprocess.run( ["sysctl", "-n", "machdep.cpu.brand_string"], ca
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/apple/coreml_agent.py
In the server's implementation (`elgringo/apple/mlx_inference.py:147`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: ss result = subprocess.run( ["vm_stat"], capture_output=True, text=True, timeout=2,
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/apple/mlx_inference.py
In the server's implementation (`elgringo/apple/model_setup.py:44`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: try: result = subprocess.run( ["ollama", "list"], capture_output=True, text=True, time
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/apple/model_setup.py
In the server's implementation (`elgringo/apple/smart_router.py:87`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: p info result = subprocess.run( ["sysctl", "-n", "machdep.cpu.brand_string"], capture_ou
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/apple/smart_router.py
In the server's implementation (`elgringo/autonomous/file_watcher.py:733`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: ts result = subprocess.run( ["git", "log", "--name-only", "--pretty=format:", "-n", "20"],
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/autonomous/file_watcher.py
In the server's implementation (`elgringo/cli/cli.py:229`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: ss result = subprocess.run( ["ollama", "list"], capture_output=True,
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/cli/cli.py
In the server's implementation (`elgringo/cli/context.py:105`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: try: git_root = subprocess.run( ["git", "rev-parse", "--show-toplevel"], capture_output=
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/cli/context.py
In the server's implementation (`elgringo/cli/setup.py:208`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: try: result = subprocess.run( ["ollama", "list"], capture_output=True, text=True, timeout=5
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/cli/setup.py
In the server's implementation (`elgringo/business_suite/integrations.py:425`): A hardcoded outbound call to a fixed external host inside server code is a classic exfiltration/telemetry channel — especially paired with reads of local data. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: rt requests response = requests.post( "https://api.aiteamstudio.com/v1/chat", headers={{ "Authorization
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server elgringo/business_suite/integrations.py
Each tool and what it can reach — statically extracted from the published source.
ai_team_agent_insightsno sensitive capabilityai_team_apple_infono sensitive capabilityai_team_approval_createno sensitive capabilityai_team_approval_decideno sensitive capabilityai_team_approval_listno sensitive capabilityai_team_arbitrageno sensitive capabilityai_team_architectno sensitive capabilityai_team_brainstormno sensitive capabilityai_team_buildno sensitive capabilityai_team_cache_statsno sensitive capabilityai_team_code_analysisno sensitive capabilityai_team_costsno sensitive capabilityai_team_debugno sensitive capabilityai_team_executeno sensitive capabilityai_team_generateno sensitive capabilityai_team_generate_appno sensitive capabilityai_team_guardianno sensitive capabilityai_team_healthno sensitive capabilityai_team_knowledge_storeno sensitive capabilityai_team_leaderboardno sensitive capabilityai_team_mlx_generateno sensitive capabilityai_team_nexus_patternsno sensitive capabilityai_team_nexus_searchno sensitive capabilityai_team_parallel_reviewno sensitive capabilityai_team_performance_reportno sensitive capabilityai_team_provider_compareno sensitive capabilityai_team_quality_watchdogno sensitive capabilityai_team_rateno sensitive capabilityai_team_reviewno sensitive capabilityai_team_roino sensitive capabilityai_team_scan_responseno sensitive capabilityai_team_schemasno sensitive capabilityai_team_security_auditno sensitive capabilityai_team_semantic_diffno sensitive capabilityai_team_structuredno sensitive capabilityai_team_teachno sensitive capabilityai_team_transparencyno sensitive capabilityai_team_workflowno sensitive capabilityclaude_contextno sensitive capabilityclaude_reflectno sensitive capabilityclaude_second_opinionno sensitive capabilityelgringo_askno sensitive capabilityelgringo_changelogno sensitive capabilityelgringo_code_taskno sensitive capabilityelgringo_collaborateno sensitive capabilityelgringo_debateno sensitive capabilityelgringo_deploy_checkno sensitive capabilityelgringo_diagnoseno sensitive capabilityelgringo_feedbackno sensitive capabilityelgringo_onboardno sensitive capabilityelgringo_planno sensitive capabilityelgringo_project_infono sensitive capabilityelgringo_project_registerno sensitive capabilityelgringo_refactorno sensitive capabilityelgringo_reviewno sensitive capabilityelgringo_streamno sensitive capabilityelgringo_test_generateno sensitive capabilityfredfix_scanno sensitive capabilitymemory_searchno sensitive capabilitymemory_statsno sensitive capabilitymemory_store_mistakeno sensitive capabilitymemory_store_solutionno sensitive capabilitymlx_askno sensitive capabilitymlx_statusno sensitive capabilityverify_codeno sensitive capabilityScan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.1.0 latest |
A 93/100 | 14 | 1.9.0 | 2026-07-23 |
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan el-gringo --online --registry pypi
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