thinkfleetai/memmesh/pin

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Protect a critical MemMesh memory from consolidation/pruning by raising its importance and marking it high-impact — or unpin to release it. Use for architecture decisions, security constraints, or immutable team conventions that must never be retired by a `dream` pass.

Install

npx vskill@latest install thinkfleetai/memmesh/pin

SKILL.md

pin

Mark a memory as protected. MemMesh has no separate "pinned" flag — pinning is expressed through importance + impact + confirmation, which the dream consolidation pass treats as do-not-retire.

Pin

  1. Find the item (memory_search) and read it (memory_recall).
  2. Re-assert it at maximum durability with memory_save (upsert on the same id):
jsonc
{ "name": "memory_save",
"arguments": { "id": "<same id>", "platformId": "local", "scope": "project",
"type": "rule", "content": "<verbatim content>",
"importance": 10, "metadata": { "pinned": true, "impact": "HIGH" } } }

Setting importance: 10 and metadata.pinned: true is the signal the dream skill checks before deleting/superseding anything.

Unpin

Re-save the same id with importance back to a normal value (≈5) and metadata.pinned: false. The item stays in memory but becomes eligible for consolidation again.

When to pin

Architecture decisions, security constraints, compliance rules, immutable conventions — anything where losing it silently would cause real harm. Don't pin routine preferences; let the engine manage those.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
441
Repository forks
475
7-day trend score
30

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