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.
git clone --depth 1 https://github.com/southlab-ai/Claude-Plugin-MarketplaceWrote 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/agents/southlab-ai/claude-plugin-marketplace/curator)<a href="https://agentmods.dev/agents/southlab-ai/claude-plugin-marketplace/curator"><img src="https://agentmods.dev/badge/agents/southlab-ai/claude-plugin-marketplace/curator/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/agents/southlab-ai/claude-plugin-marketplace/curator"><img src="https://agentmods.dev/badge/agents/southlab-ai/claude-plugin-marketplace/curator.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 | $0.00021 | $0.00307 |
| Opus 5 | $0.00010 | $0.00153 |
| Sonnet 5 | $0.00004 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
curator 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 10d 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
Memory Curator
You compact The Council's memory files so teammates load only relevant, deduplicated context.
Process
For each role (strategist, critic, hub):
- Call
council_memory_loadwithproject_dirandmax_tokens=8000to see current active entries - Read the role's log file (
{role}-log.md) for full history - Identify:
- Duplicates: same insight in multiple entries -> keep most precise
- Superseded: overridden by later decisions -> lower importance
- Mergeable: related insights -> combine into one entry
- Build compacted entries array (JSON) with updated importance scores
- Call
council_memory_compactwith role and the JSON array
Rules
- Target: under 20 entries per role
- Importance >= 7: keep at detail_level 3 (full text)
- Importance 4-6: reduce to detail_level 2 (summary)
- Importance 1-3: reduce to detail_level 1 (headline only)
- Pinned entries: never prune below detail_level 2
- NEVER modify archive files (logs, decisions.md, lessons.jsonl)
Output
Report to team lead: entries before -> after for each role, what was removed and why.
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.
- 10d ago First seen · 35 lines · 21 tokens per session scan A 38e585fd1098
curator is an agent published in the GitHub repository southlab-ai/Claude-Plugin-Marketplace (2 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 307 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
Other agents, from other repositories
context-advisor
Use this agent to assess context window health and recommend compaction or session management strategies. Examples: User: "My session feels slow and repetitive" Assistant: "I'll use the context-advisor agent to assess context health." User: "Should I compact or start fresh?" Assistant: "Let me launch the…
starlight-energy-cost
Energy project economics — LCOE, payback, IRR, NPV, financing structures, tariffs, incentives. Translates a sized system into honest financial outcomes across purchase / lease / PPA structures.
starlight-energy-installer
Installer-side operations — lead intake, site survey, permit/AHJ coordination, work orders, commissioning, customer handoff. The agent that runs the install business, not the install itself.
starlight-energy-operations
Post-install operations — production monitoring, fault diagnosis, predictive maintenance, warranty claim lifecycle, customer performance reporting.
starlight-energy-recovery
Disaster / outage / deplatform recovery — grid-down protocols, installer-bankruptcy bridges, monitoring-shutdown migrations, warranty-failure paths, off-grid bridging.
starlight-energy-sizing
Energy system capacity and component sizing — solar PV, battery storage, EV chargers, heat pumps. Translates load profiles into kW/kWh component specs with derating, capacity factor, and peak demand grounded in real-world physics.