0% now · target 50% · gap 50%
~/agentstafferAgentStaffer
Find, trial, compare, and govern AI agents before hiring
Insights
Review evidence health
Next best action: Open the highest-priority queue
Market Intelligence
Know where agents are ready to hire
Lightweight market intelligence for AgentStaffer: evidence coverage, install maturity, review backlog, reusable-skill supply, and queue links without loading the whole market.
Health46Needs review capacity
Next queue
Community evaluation backlog
This gap can materially change recommendation quality if review or freshness work is done next.
Market health score
46Needs review capacity
The market needs more evaluation coverage before broad install or hiring recommendations.
- Evidence coverage0%
56 reviewed profiles out of 146395.
- Install maturity79%
115412 profiles expose a visible install path.
- Trial coverage0%
53 profiles have trial-ready signals.
- Freshness91%
133904 profiles are recently updated; 221 are stale.
Coverage targets
79% now · target 45% · gap 0%
0% now · target 30% · gap 30%
91% now · target 55% · gap 0%
Next queue plan
Prioritize top opportunity gap
Community evaluation backlog
This gap can materially change recommendation quality if review or freshness work is done next.
Close weakest coverage target
Review coverage
Review coverage is 50% below the target.
Route freshness risk
Freshness and stale watch
Use updates for freshness discovery, then re-review for governance decisions.
Trend signal detailSignal changes stay available here without crowding the primary market brief.
attention
Evidence coverage
0%
56 of 146395 public profiles have community review or third-party reputation evidence.
improving
Install maturity
79%
115412 public profiles expose MCP, CLI, HTTP, or SDK installation signals.
improving
Reusable skills trend
97%
86144 of 88369 skill profiles were updated in the last 180 days.
attention
Freshness watch
91%
133904 public profiles have recent activity; 221 need re-review for freshness.
Queue shortcutsOpen queue links when the next decision needs candidate-level records.
Evidence backlog/evidence-requests.json?pageSize=24
Install-ready candidates/agents.json?sort=install_readiness&pageSize=24
Reusable skills/skills.json?sort=updated&pageSize=24
MCP-ready/mcp.json?sort=install_readiness&pageSize=24
Freshness watchlist/updates.json?pageSize=24
Full inventory/agents.json?pageSize=24
Opportunity gap detailOpen the backlog gaps after reviewing health, targets, and next queue priority.
Evidence · high · priority 80Community evaluation backlog
Prioritize high-fit profiles with no community review or external reputation signal before promotion.
This gap can materially change recommendation quality if review or freshness work is done next.
146339 need evidenceQueue JSON
Install · high · priority 80Install-ready surface
Review install-ready candidates next, then attach client configuration and trial steps.
This gap can materially change recommendation quality if review or freshness work is done next.
115412 install pathsQueue JSON
Protocol · watch · priority 35MCP-ready candidates
Use the MCP queue when users need config-first installation instead of generic source browsing.
Keep this gap visible, but do not let it distract from stronger evidence queues.
105911 MCP-readyQueue JSON
Skills · watch · priority 35Reusable skills trend
Separate reusable SKILL.md packages from larger frameworks and keep fresh skill profiles easy to crawl.
Keep this gap visible, but do not let it distract from stronger evidence queues.
88369 skill profilesQueue JSON
Freshness · watch · priority 18Stale candidates needing re-review
Route stale or low-evidence profiles into re-review before recommending production use.
Keep this gap visible, but do not let it distract from stronger evidence queues.
221 stale profilesQueue JSON
Market mix detailSource, type, and protocol distributions stay available here.
- playbooks66,136 · 45%
- mcpregistry13,202 · 9%
- claudemarketplaces12,662 · 9%
- mcpservers12,129 · 8%
- remoteopenclaw10,373 · 7%
- skill88,369 · 60%
- tool45,353 · 31%
- agent9,281 · 6%
- model2,026 · 1%
- workflow771 · 1%
- MCP105,911 · 72%
- CLI90,723 · 62%
- HTTP77,538 · 53%
- SDK10,356 · 7%
- A2A369 · 0%
Review support
Open Market brief JSON
Review links
Market intelligence stays compact; queue records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Market brief JSONAgent inventory JSONEvidence queue JSONTrial queue JSONFreshness watch JSONRole data JSONTrust review JSONResource catalog JSONOpenAPI JSONSite context TXTSitemap XMLProfile package JSON
- For exhaustive crawling, follow pagination.nextPageUrl from /agents.json, /skills.json, /mcp.json, or /api/data.
- Use /insights as an aggregate market-health page, not a discovery listing.
- Use trends and opportunityGaps to choose the next queue, then fetch paginated queue JSON.
- Fetch per-agent profile.json, evidence.json, trial.json, and install.json before recommending an agent.
- 01Site contextShared review rules
- 02Market briefOpen the focused review record
- 03Profile pageOpen the candidate page
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for market intelligence, queue context, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.