gis-cli
PyPI
v4.0.0
Published by devdattatalele — 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.
GIS — Autonomous GitHub Issue Solver. RAG-powered CLI agent that ingests repos, analyzes issues, generates patches, and creates PRs.
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 − 1.2 = 99. What the published surface and source actually contain:
| Points | What was found | Category |
|---|---|---|
| −1.2 | Hardcoded JSON Web Token in server code MTC-SRC-008 | exfiltration |
2. Client adoption risk — 99 − 7 = 92. 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 (`cli_agent/main.py:216`): Evaluating a runtime value as code (rather than a fixed literal) executes whatever reaches it — a direct RCE primitive, and almost never necessary in legitimate 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: etrieve per query") def eval(repo, embedding, dataset, output, top_k): """Run RAG evaluation against ingested repos.
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 cli_agent/main.py
In the server's implementation (`cli_agent/main.py:216`): 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: etrieve per query") def eval(repo, embedding, dataset, output, top_k): """Run RAG evaluation against ingested repos.
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 cli_agent/main.py
In the server's implementation (`cli_agent/tools.py:45`): 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( command, shell=True, capture_out
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 cli_agent/tools.py
In the server's implementation (`issue_solver/ingest.py:228`): 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: t clone command subprocess.run( ["git", "clone", "--depth", "1", clone_url, temp_dir], c
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 issue_solver/ingest.py
A hardcoded JSON Web Token (a public-by-design (anon/publishable) key — RLS, not secrecy, protects it) appears in `src/github_issue_solver/config.py:62`. Verify whether this is a real credential; if so, remove and rotate it.
Evidence: JSON Web Token: eyJh…(redacted)
Fix: Remove the secret, rotate it, and load credentials from the environment or a secret store.
Location: server src/github_issue_solver/config.py
Each tool and what it can reach — statically extracted from the published source.
analyze_github_issue_toolno sensitive capabilitygenerate_code_patch_toolno sensitive capabilityingest_repository_codeno sensitive capabilityingest_repository_docsno sensitive capabilityingest_repository_issuesno sensitive capabilityingest_repository_prsno sensitive capabilityingest_repository_toolno sensitive capabilitystart_repository_ingestionno 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 |
|---|---|---|---|---|
v4.0.0 latest |
A 92/100 | 5 | 1.13.0 | 2026-08-25 |
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 gis-cli --online --registry pypi
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