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Gp.nvim

Neovim AI plugin for GPT chat sessions, instructable text/code edits, and speech-to-text.

@ai-supply
Installations4.7k
⟳ upstream v3.9.0 · updated 2y ago
↗ Dépôt source
← More CodingCoding leaderboard →How we grade security →Source ↗
✓ Grade A · 100/100 · SafeSecurity assessment
✓No compromise signals6capabilities surfaced11of 20 OWASP controls clear
External endpoints declaredBroad capability surfaceExternal endpoints declaredExternal endpoints declared
scanned 1mo ago·osv · gitleaks · opengrep · picklescan + heuristics·full breakdown in the Security tab ↓

Gp.nvim

A Neovim plugin for GPT-style AI workflows: multi-turn chat sessions, instructable text/code operations (rewrite, append, implement), and speech-to-text.

It works across providers including OpenAI, Ollama, and Anthropic, and exposes commands you can bind for quick in-editor generation and editing.

MIT licensed and compact, it targets developers who want a configurable, provider-agnostic AI assistant inside Vim/Neovim.

Rating rank
#1
of 27 in Coding
Install rank
#22
of 27 in Coding
Security score
100/100 · A
safe
Security rank
#1
of 27 in Coding
Installs
4.7k
cat avg 157k
This listing vs category average
Installs
this
cat avg
Security (of 100)
this
cat avg
Adoption trend
See the Coding leaderboard →
✓ Security: Safe · 100100/100 · grade Ascanned 1mo ago
✓ no compromise signals6 risk-surface · 2/20 OWASP controls flagged

Compromise signals — malicious or tampered code (leaked secrets, backdoors, a dropped executable) — reduce the score, and known dependency CVEs carry a bounded penalty (they warrant review but never QUARANTINE — update the dependency to clear). Other dangerous-by-capability traits are risk surface, expected for some capabilities. Every finding is mapped to its OWASP control below.

What this capability can do · low confidence (static)
⚑ secrets
egress → img.shields.io, discord.gg, www.youtube.com, platform.openai.com, www.perplexity.ai, www.anthropic.com, ai.google.dev, api.openai.com +5

Findings mapped to the OWASP Top 10 for LLM Applications (2025) and the OWASP Machine Learning Security Top 10. Expand any flagged control for the exact findings — compromise reduces the score; expected/risk-surface do not, except a known CVE, which carries a small bounded penalty (high/critical → Review).

OWASP Top 10 for LLM Applications
⚠LLM01Prompt Injectionhigh
Adversarial instructions embedded in an artifact that hijack a downstream LLM.
•Trojan-source (bidi) characters — Unicode bidirectional overrides can hide code from reviewers · Robitx-gp.nvim-c37f154/README.md (CWE-1007)expected
⚠LLM06Excessive Agencymedium
Over-broad tool/permission surface or unrestricted egress.
•External endpoints declared — 1 distinct host(s) · Robitx-gp.nvim-c37f154/CHANGELOG.mdrisk surface
•Broad capability surface — 3 high-impact capability categories referenced — verify least-privilege · Robitx-gp.nvim-c37f154/README.md (CWE-272)risk surface
•External endpoints declared — 15 distinct host(s) · Robitx-gp.nvim-c37f154/README.mdrisk surface
•External endpoints declared — 12 distinct host(s) · Robitx-gp.nvim-c37f154/doc/gp.nvim.txtrisk surface
•External endpoints declared — 10 distinct host(s) · Robitx-gp.nvim-c37f154/lua/gp/config.luarisk surface
§LLM09MisinformationGovernance
Artifacts designed to produce false/deceptive output.
Detectable only by runtime behavioral evaluation; addressed via responsible-use attestation.
◷LLM10Unbounded ConsumptionRuntime-enforced
Unbounded loops/recursion causing DoS or runaway cost.
Enforced at runtime by the gateway (rate limits + spend caps + size caps); static check flags unbounded loops.
✓LLM02Sensitive Information DisclosurePassed
✓LLM03Supply ChainPassed
✓LLM04Data and Model PoisoningPassed
Backdoors/poisoning in training data or serialized models.
Behavioral poisoning needs model execution; static check covers unsafe serialization + dataset skew only.
✓LLM05Improper Output HandlingPassed
✓LLM07System Prompt LeakagePassed
✓LLM08Vector and Embedding WeaknessesPassed
PII or plaintext source leakage in embedding/vector exports.
Embedding inversion/poisoning is largely runtime; static check covers PII in vector exports.
OWASP Machine Learning Security Top 10
§ML01Input Manipulation (Adversarial)Governance
Models vulnerable to adversarial perturbations.
Requires runtime robustness evaluation; addressed via publisher robustness attestation.
§ML03Model InversionGovernance
Training data reconstructable from a model's outputs.
Runtime/evaluation property; addressed via model-card data-provenance + DP attestation.
§ML04Membership InferenceGovernance
Determining whether a record was in the training set.
Runtime/evaluation property; addressed via overfitting disclosure + DP attestation.
§ML08Model SkewingGovernance
Models trained on skewed data producing biased output.
Requires fairness evaluation; addressed via model-card bias/limitations disclosure.
◷ML09Output IntegrityRuntime-enforced
Middleware tampering with model outputs in transit.
Gateway enforces TLS + response integrity; static check flags output-rewriting code.
✓ML02Data PoisoningPassed
Poisoned training datasets with triggers or anomalous distributions.
Static check covers trigger phrasing, PII and label skew; full poisoning detection is runtime.
✓ML05Model TheftPassed
Unlicensed re-distribution / license-incompatible derivatives.
Static check verifies license declaration; extraction throttling is runtime.
✓ML06AI Supply ChainPassed
✓ML07Transfer Learning AttackPassed
Backdoored base models / LoRA adapters propagating to derivatives.
Backdoor detection needs behavioral probing; static check covers unsafe serialization + provenance.
✓ML10Model Poisoning (Weights)Passed
Tampered model weight files; integrity must be verifiable.
Static check enforces safe formats + records a content hash for downstream verification.
Other findings (3) · hygiene / uncategorized
•Unrecognized file type — '.editorconfig' is not on the allowlist · Robitx-gp.nvim-c37f154/.editorconfigrisk surface
•Unrecognized file type — '.?' is not on the allowlist · Robitx-gp.nvim-c37f154/LICENSErisk surface
•Unrecognized file type — '.lua' is not on the allowlist · Robitx-gp.nvim-c37f154/lua/gp/config.luarisk surface
✔ verified source · pinned Robitx-gp.nvim-c37f154
Check against a policy

The same gate an agent runs before installing (POST /api/v1/trust/gp-nvim/check). Click a policy:

Consume Gp.nvim programmatically. Authenticate with an API key or session — see Authorize an agent.

# Agents: CHECK BEFORE YOU INSTALL (no auth) — score, grade, level, capability manifest
curl https://ai-supply.store/api/v1/trust/gp-nvim

# Gate against your org policy (returns { pass, violations })
curl -X POST https://ai-supply.store/api/v1/trust/gp-nvim/check \
  -H "Content-Type: application/json" \
  -d '{"minGrade":"B","denyPermissions":["shell"],"denyUnknownEgress":true}'

# CLI
npx ai-supply add gp-nvim

# REST (install → download)
curl -X POST https://ai-supply.store/api/v1/listings/gp-nvim/install \
  -H "Authorization: Bearer $AIM_KEY"

# MCP tool
install_listing({ "slug": "gp-nvim" })
OpenAPI spec →
vlatest
✓ Security: Safe · 1001mo ago

Curated mirror — latest upstream source. See the repository for tagged releases.

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