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memmesh-test-integration

memmesh-test-integration is a skill for Claude Code, Codex from ThinkfleetAI/memmesh. It costs 136 tokens per session (682 once invoked), scanned A, original, Apache-2.0.

A testing guide for a MemMesh integration, where MemMesh adds searchable memory to an application. It checks both the project's normal tests and a real connection to the MemMesh engine.

In plain words
What is it for?
Use it after running memmesh-integrate to verify observing a fact, searching for it, building context from it, and optionally predicting with it. It produces a pass-or-fail scorecard.
Why use it?
It finds problems that type checks or mocked tests can miss, such as memory not being saved, found, or included in context. It also checks that optional predictions return a supported result and removes test data afterward.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 405repo +15 2mo ago A scan SkillSpector: pass 136 tokens original Apache-2.0

Good fit Use it after running memmesh-integrate to verify observing a fact, searching for it, building context from it, and optionally predicting with it. It produces a pass-or-fail scorecard.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thinkfleetai/memmesh/memmesh-test-integration
View source ↗ ThinkfleetAI/memmesh
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ThinkfleetAI/memmesh --skill memmesh-test-integration
Clone the repo
git clone --depth 1 https://github.com/ThinkfleetAI/memmesh

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for memmesh-test-integration

README.md
[![agentmods](https://agentmods.dev/badge/skills/thinkfleetai/memmesh/memmesh-test-integration/github.svg)](https://agentmods.dev/skills/thinkfleetai/memmesh/memmesh-test-integration)
Your own site
<a href="https://agentmods.dev/skills/thinkfleetai/memmesh/memmesh-test-integration"><img src="https://agentmods.dev/badge/skills/thinkfleetai/memmesh/memmesh-test-integration/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for memmesh-test-integration

Your own site · 80×15
<a href="https://agentmods.dev/skills/thinkfleetai/memmesh/memmesh-test-integration"><img src="https://agentmods.dev/badge/skills/thinkfleetai/memmesh/memmesh-test-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 136 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 682 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00136 $0.00682
Opus 5.5 $0.00054 $0.00273
Sonnet 5.5 $0.00027 $0.00136
Haiku 4.5 $0.00014 $0.00068

Measured 1mo ago against content hash d7ca3ddf39e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

memmesh-test-integration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/memmesh-test-integration/SKILL.md · 61 lines

What it actually says

memmesh-test-integration

Prove the integration actually works — not just that it typechecks.

Preconditions

  • A .memmesh-integration/ directory exists (else tell the user to run memmesh-integrate first).
  • Credentials: Hosted ⇒ MEMMESH_API_KEY set; Local ⇒ memmesh doctor passes.

Steps

  1. Static gate. Typecheck / lint / build. Any failure ⇒ stop, report.

  2. Native suite. Run the repo's own tests twice — once with MEMMESH_ENABLED unset (must be byte-for-byte the original behavior) and once set. Both must pass.

  3. Real E2E smoke against the live engine (not a mock):

    • observe a known fact for a throwaway userId (e.g. smoke-<runid>).
    • search for it; assert the fact comes back.
    • buildContext for the subject; assert the fact appears in the bundle.
    • If prediction was wired: call predict / predictTarget and assert you get either a calibrated probability or an honest abstention — both are a pass; a crash or an uncalibrated 1.0/0.0 with no evidence is a fail.
    • Clean up: memory_delete (or compliance.hardDeleteSubject) the throwaway subject so the smoke run leaves no residue.

  4. Scorecard. Write .memmesh-integration/scorecard.md:

    Check Result
    Typecheck / build ✅ / ❌
    Native tests (flag off) ✅ / ❌
    Native tests (flag on) ✅ / ❌
    E2E observe→search ✅ / ❌
    E2E buildContext ✅ / ❌
    E2E predict (calibrated OR abstained) ✅ / ❌ / n/a
    Smoke cleanup ✅ / ❌

Definition of done

Every applicable row green, throwaway data removed, and a one-paragraph verdict: ship / needs-work, with the failing checks called out.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 61 lines · 136 tokens per session scan A d7ca3ddf39e5

Subscribe to this mod's changes

memmesh-test-integration is a skill published in the GitHub repository ThinkfleetAI/memmesh (405 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 136 tokens to every session and 682 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

E2E testingTesting
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