Hivemind is a shared memory system for coding agents that records their sessions and turns recurring solutions into reusable skills. Teams use it to let agents search past traces, share learned procedures across tools and machines, and keep the resulting knowledge in their own cloud or on-premises storage. The catalogue entries are Hivemind's own skills, hooks, plugins, and commands for connecting agents to that shared memory.
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 activeloopai/hivemind --skill hivemind-goalsgit clone --depth 1 https://github.com/activeloopai/hivemindWrote 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/activeloopai/hivemind/hivemind-goals)<a href="https://agentmods.dev/skills/activeloopai/hivemind/hivemind-goals"><img src="https://agentmods.dev/badge/skills/activeloopai/hivemind/hivemind-goals/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/activeloopai/hivemind/hivemind-goals"><img src="https://agentmods.dev/badge/skills/activeloopai/hivemind/hivemind-goals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 145 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium Rogue Agent · line 18 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 194 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00103 | $0.02012 |
| Opus 5.5 | $0.00041 | $0.00805 |
| Sonnet 5.5 | $0.00021 | $0.00402 |
| Haiku 4.5 | $0.00010 | $0.00201 |
Grade A, and why
hivemind-goals 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.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hivemind Goals
Track goals as Markdown files inside the Deeplake virtual filesystem. Each file is one row in a dedicated team-shared table — the path encodes the structural metadata, the file body holds the human-readable description.
When to use this skill
Activate when the user expresses any of:
- "I want to track X / aim for X / track my progress on Y"
- "add a goal", "what are my goals?"
- "mark this as done", "close that goal"
- "shipping X by Friday", "5 PRs this week", any measurable target
- "create a task", "add a todo", "remind me to fix X", any work item (the goals system absorbs the old
hivemind tasksCLI — there is no separate task store)
For "list my goals" → run ls ~/.deeplake/memory/goal/<userName>/opened/ and ls ~/.deeplake/memory/goal/<userName>/in_progress/. If empty, ask the user if they want to create one.
Path conventions (LEARN THESE)
~/.deeplake/memory/goal/<owner>/<status>/<goal_id>.md
<owner>— user identifier (use the userName fromhivemind whoamior the credentials)<status>— one ofopened,in_progress,closed<goal_id>— UUIDv4 you generate at create time
Path encoding is the source of truth. The owner, status, and goal_id come from the path — NOT from the file body. Do NOT write owner/status/goal_id inside the file content.
File body format
Goal file body — plain markdown, free form:
ship the goals-graph feature
Notes: route every write through the VFS, no separate CLI.
Due: 2026-05-30.
The first line is the human-readable label (what goal list and the SessionStart banner show). Anything else is free notes.
Operations
1. Create a new goal
When the user expresses a new goal:
- Get the current owner with
hivemind whoami(use the userName, e.g.emanuele.fenocchi). - Generate a UUIDv4:
uuidgen(do NOT usenode -e— Node is not available under the VFS path). - Write the goal file via Bash (Write / Edit are denied on memory paths; only Bash is intercepted and routed to SQL):
For a single-line goal,cat > ~/.deeplake/memory/goal/<owner>/opened/<uuid>.md <<'EOF' <goal description here, multiple lines OK> EOFecho '<text>' > ~/.deeplake/memory/goal/<owner>/opened/<uuid>.mdis equivalent. - Respond to the user that the goal is created.
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 Changed · -51 lines · -10 tokens per session cb9700f27a8d
- 1mo ago First seen · 205 lines · 113 tokens per session scan A 2a0ac2579c5d
hivemind-goals is a skill published in the GitHub repository activeloopai/hivemind (1,629 stars, last pushed yesterday), licensed Apache-2.0. It adds 103 tokens to every session and 2,012 once invoked, about $0.0004 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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