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.
npx skills add ThinkfleetAI/memmesh --skill pingit clone --depth 1 https://github.com/ThinkfleetAI/memmeshWrote 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.
[](https://agentmods.dev/skills/thinkfleetai/memmesh/pin)<a href="https://agentmods.dev/skills/thinkfleetai/memmesh/pin"><img src="https://agentmods.dev/badge/skills/thinkfleetai/memmesh/pin/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.
<a href="https://agentmods.dev/skills/thinkfleetai/memmesh/pin"><img src="https://agentmods.dev/badge/skills/thinkfleetai/memmesh/pin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.00359 |
| Opus 5.5 | $0.00021 | $0.00144 |
| Sonnet 5.5 | $0.00011 | $0.00072 |
| Haiku 4.5 | $0.00005 | $0.00036 |
Grade A, and why
pin 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.
What it actually says
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
- Find the item (
memory_search) and read it (memory_recall). - Re-assert it at maximum durability with
memory_save(upsert on the same id):
{ "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.
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.
- 1mo ago First seen · 42 lines · 53 tokens per session scan A 39941764c338
pin is a skill published in the GitHub repository ThinkfleetAI/memmesh (405 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 359 once invoked, about $0.0002 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.
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