The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches
C elevated
- capability exposure inferred + 35
- tool safety inferred + 5
- supply-chain attested + 6
- trust mitigators mixed − 8
attested inferred mixed
The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.
graded 9m ago · see ecosystem CVEs →
- D · 61 → C · 38
- D · 68 → D · 61
- C · 59 → D · 68
- C · 54 → C · 59
- C · 59 → C · 54
Inferred surface — each links to servers holding it:
No known CVEs for this server.
- medium dangerous code
dynamic exec: new Function()
prompt-surface
shipped agent-instruction files + hidden-content / dangerous-code findings —
quoted from the analyzed source
analyzed v2.1.2 · analyzer v32 · 14h ago
skills & prompt files 200
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danger signals1
- dynamic code execution new Function() package/wasm/quic/agentic_flow_quic.js :540
const ret = new Function(getStringFromWasm0(arg0, arg1));
- supply-chain +6 supply-chain hub →
[](https://mcpobservatory.com/servers/npm:agentic-flow/security) Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of ruvnet.