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 blackms/aistack --skill consensusgit clone --depth 1 https://github.com/blackms/aistackWrote 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/blackms/aistack/consensus)<a href="https://agentmods.dev/skills/blackms/aistack/consensus"><img src="https://agentmods.dev/badge/skills/blackms/aistack/consensus/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/blackms/aistack/consensus"><img src="https://agentmods.dev/badge/skills/blackms/aistack/consensus.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00075 | $0.00627 |
| Opus 5.5 | $0.00030 | $0.00251 |
| Sonnet 5.5 | $0.00015 | $0.00125 |
| Haiku 4.5 | $0.00007 | $0.00063 |
Grade A, and why
aistack-consensus 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 2mo 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 — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.
aistack: Consensus checkpoints (human-in-the-loop)
aistack lets agents pause before high-impact actions and request explicit approval. This prevents autonomous agents from taking irreversible or risky steps without a human (or a designated approver) signing off.
When to use
- Before an irreversible or high-blast-radius action: production deploy, DB schema migration, deleting data, force-push, mass file rewrite, spending money, sending external messages.
- When the user wants approval gates, sign-off, or "ask me before doing X".
- In an autonomous loop (see
/aistack-pm) where some steps must not run unattended.
For low-risk, easily reversible actions, do NOT add a checkpoint — it just adds friction.
MCP tools (bundled aistack server)
| Tool | Purpose |
|---|---|
consensus_check |
Propose an action and create a pending checkpoint requiring approval |
consensus_list_pending |
List checkpoints awaiting a decision |
consensus_get |
Inspect a specific checkpoint |
consensus_approve |
Approve a pending checkpoint (the action may proceed) |
consensus_reject |
Reject a checkpoint (the action must not proceed) |
List exact schemas with npx @blackms/aistack mcp tools.
Workflow
- Detect the gate: classify the next action's risk. If it is irreversible / high-impact, do not execute it directly.
- Propose: call
consensus_checkdescribing the exact action, its blast radius, and how to undo it (if possible). This creates a pending checkpoint. - Pause & surface: stop and tell the human what is pending and why, then wait. Do not proceed on assumption.
- Resolve: on
consensus_approve, perform the action. Onconsensus_reject, abort cleanly, report, and propose a safer alternative if one exists. - Record: store the decision and its rationale in aistack memory (see the
aistack-memoryskill) for an audit trail.
Tips
- Make each proposal self-contained: a reviewer should be able to decide from the checkpoint text alone, without re-reading the whole session.
- Default to a checkpoint when uncertain whether an action is reversible. Over-gating is annoying; under-gating is dangerous.
- Combine with
/aistack-reviewto run an adversarial pass before requesting approval, so the human reviews a vetted action.
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.
- 2mo ago First seen · 45 lines · 75 tokens per session scan A 85533b20cdc1
aistack-consensus is a skill published in the GitHub repository blackms/aistack (53 stars, last pushed 5mo ago), licensed MIT. It adds 75 tokens to every session and 627 once invoked, about $0.0003 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.
aistack-consensus compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aistack-consensusblackms/aistack | Skill | 53 | 5mo ago | MIT | A | 75 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |