Pg Aiguide
MCP server and Claude plugin for Postgres skills and documentation. Helps AI coding tools generate better PostgreSQL code.
Is Pg Aiguide safe? Strong public trust posture, backed by multiple independent signals.
Compare Pg Aiguide
How does it stack up against its Agent Skills neighbours?
Pick any agent to compare →In detail: Pg Aiguide scores 81.0/100 (Grade A), ranked #17 of 385 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: its packages ship with cryptographic provenance; OSSF Scorecard rates its supply-chain practices 5.4/10; 90% of recent commits are signed; no published advisory affects its latest release (@tigerdata/pg-aiguide); last pushed 2026-10-14. Every point is earned from checkable signals — never paid placement. How scoring works →
How Pg Aiguide could raise its score
Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.
- Raise the OSSF Scorecard from 5.4 to 9.0lowest checks: CII-Best-Practices 0, Fuzzing 0, Pinned-Dependencies 0 +6.3 → 87.3 A · #7 of 385
Chain of custody
Scanners check what the code says. This traces who ships Pg Aiguide and whether that has changed: from the source repository, through how changes are reviewed and released, to the package you install. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities and, for skills, AST02 Supply Chain Compromise.
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Source Signed
github.com/timescale/pg-aiguide, Apache-2.0, last pushed 2026-10-14. 90% of the last 100 commits carry a verified signature, so changes trace to a verified account.
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Review and release Mixed
OpenSSF Scorecard rates the repository's practices 5.4/10 (scanned Oct 15, 2026). The checks that decide who can get a change released:
- Code Review5
- Branch Protection5
- Signed Releasesn/a
- Dangerous Workflow10
- Token Permissions0
- Pinned Dependencies0
All 18 Scorecard checks
Binary-Artifacts 10Branch-Protection 5CI-Tests 10CII-Best-Practices 0Code-Review 5Contributors 10Dangerous-Workflow 10Dependency-Update-Tool 10Fuzzing 0License 10Maintained 10Packaging 10Pinned-Dependencies 0SAST 0Security-Policy 0Signed-Releases -1Token-Permissions 0Vulnerabilities 0 -
Published packages Linked and attested
- npm @tigerdata/pg-aiguide Source link points back to this repo Build provenance attested
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What you install today No known advisories
Latest release checked: @tigerdata/pg-aiguide 0.6.1. No published advisory affects it (OSV, checked 2026-10-16).
Changes to this chain
- 2026-09-23 Package provenance attestation detected
- 2026-08-29 OSSF Scorecard: 4.8/10
Evidence behind this score
Coverage B: 3 of 5 independent evidence types found.
- GitHub repository data
- Package downloads
- Supply-chain checks
- Public actions (missing)
- Community mentions (missing)
Verify this score yourself
Every build re-issues Pg Aiguide’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.
What this score doesn’t check
It covers who ships the code, not what the code does. It doesn’t read the skill’s instructions for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you install it, such as Cisco Skill Scanner.
How Pg Aiguide compares in Agent Skills
- #15 Antigravity Sdk Python 82.8 +1.8
- #16 DSH Better Sidebar 81.3 +0.3
- #17 Pg Aiguide 81.0 this agent
- #18 Modlens 80.8 −0.2
- #19 Dsh Agent Teams 78.1 −2.9
Bars show each HVTrust score; the tick marks Pg Aiguide’s 81.0.
Where the 81.0 comes from
HVTrust dimensions vs the Agent Skills average
81.0 / 100 · 100.0% confidencePg Aiguide Agent Skills average (385 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade A reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
67.2 / 100Common questions about Pg Aiguide
Does Pg Aiguide publish package provenance?
Does Pg Aiguide have an OpenSSF Scorecard?
Is Pg Aiguide actively maintained?
What license does Pg Aiguide use?
Are Pg Aiguide's commits signed?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- database
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to Pg Aiguide's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.
Maintain Pg Aiguide?
For maintainers
HVTrust scores Pg Aiguide from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/pg-aiguide)
<a href="https://hvtracker.net/agents/pg-aiguide"><img src="https://hvtracker.net/badge/pg-aiguide.svg" alt="HVTrust"></a>
Other agents in Agent Skills
GitHub REST API (repo, commits, stars, forks, license) · npm Registry (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.4 · Raw JSON