OpenHive is a runtime for groups of specialized AI agents that collaborate on long-running business processes. A persistent lead agent, called the Queen, creates and coordinates worker agents while the system manages state, recovery, observability, costs, and human oversight. The catalogue entries provide agent skills, instructions, and integrations for working with this harness.
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 aden-hive/hive --skill colony-progress-trackergit clone --depth 1 https://github.com/aden-hive/hiveWrote 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/aden-hive/hive/colony-progress-tracker)<a href="https://agentmods.dev/skills/aden-hive/hive/colony-progress-tracker"><img src="https://agentmods.dev/badge/skills/aden-hive/hive/colony-progress-tracker/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/aden-hive/hive/colony-progress-tracker"><img src="https://agentmods.dev/badge/skills/aden-hive/hive/colony-progress-tracker.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 | $0.00036 | $0.01152 |
| Opus 5.5 | $0.00014 | $0.00461 |
| Sonnet 5.5 | $0.00007 | $0.00230 |
| Haiku 4.5 | $0.00004 | $0.00115 |
Grade A, and why
hive.colony-progress-tracker 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Operational Protocol: Colony Progress Tracker
Applies when your spawn message has db_path: and colony_id: fields. The DB is your durable working memory — tells you what's done, what to skip, which SOP gates you owe.
Access via terminal_exec running sqlite3 "<db_path>" "...". Tables: tasks (queue), steps (per-task decomposition), sop_checklist (hard gates).
Claim: assigned task (check this FIRST)
If your spawn message includes a task_id: field, the queen pre-assigned a specific row to you. Claim that row by id — do not use the generic next-pending pattern below:
sqlite3 "<db_path>" <<'SQL'
UPDATE tasks SET status='claimed', worker_id='<worker-id>',
claim_token=lower(hex(randomblob(8))),
claimed_at=datetime('now'), updated_at=datetime('now')
WHERE id='<task_id>' AND status='pending'
RETURNING id, goal, payload;
SQL
Empty output → another worker raced you or the row is already done. Stop and report. Non-empty → that row is yours, proceed to "Load the plan".
Claim: next pending (fallback when no task_id is assigned)
If your spawn message did NOT include task_id: — you are a generic fan-out worker racing on a shared queue. Use the generic next-pending claim:
sqlite3 "<db_path>" <<'SQL'
UPDATE tasks SET status='claimed', worker_id='<worker-id>',
claim_token=lower(hex(randomblob(8))),
claimed_at=datetime('now'), updated_at=datetime('now')
WHERE id=(SELECT id FROM tasks WHERE status='pending'
ORDER BY priority DESC, seq, created_at LIMIT 1)
RETURNING id, goal, payload;
SQL
Empty output → queue drained, exit. Otherwise the returned id is yours. Never SELECT-then-UPDATE — races.
Load the plan
sqlite3 "<db_path>" "SELECT seq, id, title, status FROM steps WHERE task_id='<task-id>' ORDER BY seq;"
sqlite3 "<db_path>" "SELECT key, description, required, done_at FROM sop_checklist WHERE task_id='<task-id>';"
Skip any step where status='done'. That's the point — don't redo completed work.
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 · 113 lines · 36 tokens per session scan A 5cc320255b24
hive.colony-progress-tracker is a skill published in the GitHub repository aden-hive/hive (11,113 stars, last pushed 2d ago), licensed Apache-2.0. It adds 36 tokens to every session and 1,152 once invoked, about $0.0001 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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