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pam-benchmark

Skill · GitHub · ★ 9 · graded 2026-10-19Source linked

Industrial benchmark for AI memory – measuring how accurately LLM and agent memory systems recall long-term context, with uniform, reproducible scoring across datasets and memory products.

No outside reports on file

pam-benchmark is distributed via GitHub (Harmix/pam-benchmark); review its source code, dependencies, and requested permissions before use.

Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesNo local folder access notedLOW
  • Command executionNo shell command runner notedLOW
  • Network reachLocal or standard API callsLOW
  • CredentialsNo API token requiredLOW
  • Package sourceGitHub (Harmix/pam-benchmark)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/Harmix/pam-benchmark ↗

All setup options ↓

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About Pam Benchmark

Pam Benchmark is an agent skill focused on Data & databases and Memory & knowledge: Industrial benchmark for AI memory – measuring how accurately LLM and agent memory systems recall long-term context, with uniform, reproducible scoring across datasets and memory products.

It is hosted on GitHub at Harmix/pam-benchmark (9 GitHub stars). Based on its public metadata, it operates with standard local or API scope without broad shell execution flags noted.

Setup

These use the package this listing points to. Check the project’s own instructions before running anything.

No npm or PyPI package is listed for this agent skill. Source code and setup steps: github.com/Harmix/pam-benchmark.

Why this grade

DD — High risk signals

Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

13/100
GitHub stars
9
Listing last refreshed
2026-10-28

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Security reports

No reports found for this package in our research (last checked 2026-10-29).

Check a specific version →

Risks to watch for

  • Dependency & version pinning: Distributed via GitHub (Harmix/pam-benchmark). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

  • Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
  • Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

  • Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
  • If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

  • Check its activity history or logs weekly at first, and look at what it changed or sent.
  • Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

  • It asks for more access than its job requires, or prompts you to paste passwords.
  • It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install Pam Benchmark?

Pam Benchmark does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/Harmix/pam-benchmark.

Are there security reports about Pam Benchmark?

No reports found for this package in our research (last checked 2026-10-29). Pam Benchmark currently holds Grade D (High risk signals) based on public adoption and transparency signals. Review the permissions and source repository before granting access to local files, shell commands, or API keys.

Is Pam Benchmark actively maintained?

Pam Benchmark has 9 GitHub stars. Our directory data was last refreshed on 2026-10-28. Check recent commit activity, release tags, and open issues at github.com/Harmix/pam-benchmark before pinning it in production.

What are alternatives to Pam Benchmark?

You can compare Pam Benchmark side by side with other Memory skills in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.

README badge and team notes

Maintain or use Pam Benchmark? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade D for Pam Benchmark

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Pam Benchmark](https://agentarmorhq.com/api/badge/harmix-pam-benchmark)](https://agentarmorhq.com/skills/harmix-pam-benchmark)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/harmix-pam-benchmark"><img src="https://agentarmorhq.com/api/badge/harmix-pam-benchmark" alt="AgentArmorHQ Risk Grade for Pam Benchmark" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "harmix-pam-benchmark"

Share with your security lead

Need sign-off to use pam-benchmark? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: pam-benchmark
- **Listing URL:** https://agentarmorhq.com/skills/harmix-pam-benchmark
- **Type:** AI agent skill
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 9 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Local or standard API calls
- **Credentials:** No API token required
- **Package source:** GitHub (Harmix/pam-benchmark)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/Harmix/pam-benchmark
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
AI agent skill
Publisher
Harmix
Source code
github.com/Harmix/pam-benchmark
Est. context load
~74 tokens idle · ~1.3k tokens when active (on-demand skill)
Popularity
9 GitHub stars
Last updated
2026-10-28
Last graded
2026-10-19

Community

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