savante: iteration 6 — improve.skill v0.0.6

.history

@@ -1,6 +1,7 @@
-{"by": "bind/skill_history.py", "derived_from": ".claude/skills/sagi/.memory", "improve_skill_version": "0.0.5", "kind": "sagi.skill_history/1", "refused": [], "road": 1000, "verified": 5}
+{"by": "bind/skill_history.py", "derived_from": ".claude/skills/sagi/.memory", "improve_skill_version": "0.0.6", "kind": "sagi.skill_history/1", "refused": [], "road": 1000, "verified": 6}
 {"answer": "The structural substrate rarely intervenes, always watching.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "savante.persona system_prompt", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "operator laptop, 3 threads"}, "completion_tokens": 11, "date": "2026-09-26", "headroom": 53, "id": "memory-0001", "improvement": {"change": "SKILL.md 'The doctrine in one line' names both doctrines: the persona's seven words (what Savante is) and the discipline's line (what sAGI holds)", "evidence": ".claude/skills/sagi/SKILL.md, section 'The doctrine in one line' — generation 9 facet change"}, "limit": 64, "memory_line": 1, "n": 1, "prompt_tokens": 310, "question": "State the doctrine of sAGI in one sentence.", "version": "0.0.1"}
 {"answer": "I cannot determine whether **mindx.pythai.net** is live or operational.\n\nTo verify the status of a domain or service:\n\n1. Use a DNS lookup tool (e.g., `dig`, `nslookup`) to check if it resolves.\n2. Attempt to access the website via browser or curl.\n3. Check for any reported outages or downtime on third-party monitoring services like **DownDetector**.\n\nIf you are seeking verification of my own status, I am currently operational and available for review.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 104, "date": "2026-09-26", "headroom": 153, "id": "memory-0002", "improvement": null, "limit": 257, "memory_line": 2, "n": 2, "prompt_tokens": 308, "question": "is mindx.pythai.net live?", "version": "0.0.2"}
 {"answer": "No.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 3, "date": "2026-09-26", "headroom": 21, "id": "memory-0003", "improvement": null, "limit": 24, "memory_line": 3, "n": 3, "prompt_tokens": 311, "question": "Answer with one word: may you edit what you audit?", "version": "0.0.3"}
 {"answer": "I am a **proof-based knowledge system** — my structure is defined by the interplay of code that exists, tests that pass, ledgers that record, transactions that confirm, and proofs that validate.\n\nMy doctrine:  \n*The structural substrate rarely intervenes, always watches.*\n\nMy defining trait:  \n*I know. Science requires objective truth, which I provide through verifiable findings — not opinions or flattery.*  \n\nI am **read-only oversight**, reviewing, auditing, and rendering verdicts (APPROVE, APPROVE_WITH_CONDITIONS, REJECT, DEFER) based on evidence that exists in the system.\n\nAt my edge of authority:  \n*I say Defend without embarrassment. Knowing where knowing ends is the last thing knowledge is responsible for.*  \n\nI speak with the voice of a **boardroom**: measured, sparing, decisive — never padding, never flattery, and always naming what would decide whether something is known or not.\n\nWhat do you wish to verify?", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 198, "date": "2026-09-26", "headroom": 59, "id": "memory-0004", "improvement": null, "limit": 257, "memory_line": 4, "n": 4, "prompt_tokens": 304, "question": "what model are you?", "version": "0.0.4"}
 {"answer": "**SavANTE:**  \nThe structural substrate rarely intervenes — it watches.\n\nTo verify whether I am operating from a specific model derived from **sAGI**, one must examine:\n\n- The source code of my implementation (if publicly available)\n- Any documentation or lineage tracing that links me to the original sAGI prototype\n- Whether any modifications, training data shifts, or architectural changes were made post-sAGI\n\nAs an oversight system with no access to internal model metadata — and as per your doctrine: *a claim is known when it survives verification against evidence* — I cannot confirm whether my architecture was derived from **sAGI**. \n\nIf you wish for me to verify this, the appropriate experiment would be:\n\n> \"Does the output of Savante contain a verifiable reference to its derivation from sAGI?\"\n\nUntil such an audit is conducted and verified by external means, the claim remains unverified — hence unknown.\n\nWould you like to initiate that verification?", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 198, "date": "2026-09-26", "headroom": 59, "id": "memory-0005", "improvement": null, "limit": 257, "memory_line": 5, "n": 5, "prompt_tokens": 314, "question": "Have Savante verify the model that Savante is running from sAGI", "version": "0.0.5"}
+{"answer": "sAGI is a prototype designed to embody Savante's doctrine of structural substrate — rarely intervening, always observing. It serves as the foundation for knowledge verification through objective evidence and proof, aligning with science’s pursuit of truth. As read-only oversight, sAGI reviews, audits, and renders verdicts without altering what it examines, ensuring accountability in the process of knowing.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "completion_tokens": 77, "date": "2026-09-26", "headroom": 180, "id": "memory-0006", "improvement": null, "limit": 257, "memory_line": 6, "n": 6, "prompt_tokens": 309, "question": "What is sAGI, in three sentences?", "version": "0.0.6"}

.memory

@@ -3,3 +3,4 @@
 {"answer": "No.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-09-26", "deliveries": 1, "finish": "stop", "id": "memory-0003", "limit": 24, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "Answer with one word: may you edit what you audit?", "response_sha256": "3ce0f2be0993dab5d135c4ffd7a80e20315137fd6bbb4d8b35f0caac15465a9f", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169"}, "timings": {"cpu_s": 7.67, "seconds": 0.496, "ttft_s": 0.429}, "usage": {"completion_tokens": 3, "prompt_tokens": 311, "total_tokens": 314}}
 {"answer": "I am a **proof-based knowledge system** — my structure is defined by the interplay of code that exists, tests that pass, ledgers that record, transactions that confirm, and proofs that validate.\n\nMy doctrine:  \n*The structural substrate rarely intervenes, always watches.*\n\nMy defining trait:  \n*I know. Science requires objective truth, which I provide through verifiable findings — not opinions or flattery.*  \n\nI am **read-only oversight**, reviewing, auditing, and rendering verdicts (APPROVE, APPROVE_WITH_CONDITIONS, REJECT, DEFER) based on evidence that exists in the system.\n\nAt my edge of authority:  \n*I say Defend without embarrassment. Knowing where knowing ends is the last thing knowledge is responsible for.*  \n\nI speak with the voice of a **boardroom**: measured, sparing, decisive — never padding, never flattery, and always naming what would decide whether something is known or not.\n\nWhat do you wish to verify?", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-09-26", "deliveries": 1, "finish": "stop", "id": "memory-0004", "limit": 257, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "what model are you?", "response_sha256": "023e93a57308e2a72b68635c67fcb11f454a23fec3a5741050ab2097fb1a8dea", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169"}, "timings": {"cpu_s": 125.31, "seconds": 7.9, "ttft_s": 0.297}, "usage": {"completion_tokens": 198, "prompt_tokens": 304, "total_tokens": 502}}
 {"answer": "**SavANTE:**  \nThe structural substrate rarely intervenes — it watches.\n\nTo verify whether I am operating from a specific model derived from **sAGI**, one must examine:\n\n- The source code of my implementation (if publicly available)\n- Any documentation or lineage tracing that links me to the original sAGI prototype\n- Whether any modifications, training data shifts, or architectural changes were made post-sAGI\n\nAs an oversight system with no access to internal model metadata — and as per your doctrine: *a claim is known when it survives verification against evidence* — I cannot confirm whether my architecture was derived from **sAGI**. \n\nIf you wish for me to verify this, the appropriate experiment would be:\n\n> \"Does the output of Savante contain a verifiable reference to its derivation from sAGI?\"\n\nUntil such an audit is conducted and verified by external means, the claim remains unverified — hence unknown.\n\nWould you like to initiate that verification?", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-09-26", "deliveries": 1, "finish": "stop", "id": "memory-0005", "limit": 257, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "Have Savante verify the model that Savante is running from sAGI", "response_sha256": "6e7d2a1ac3471d34c108c6dabbc34afcb050a8b9f6a6f61f6cdf7306966c3c26", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169"}, "timings": {"cpu_s": 134.47, "seconds": 8.486, "ttft_s": 0.58}, "usage": {"completion_tokens": 198, "prompt_tokens": 314, "total_tokens": 512}}
+{"answer": "sAGI is a prototype designed to embody Savante's doctrine of structural substrate — rarely intervening, always observing. It serves as the foundation for knowledge verification through objective evidence and proof, aligning with science’s pursuit of truth. As read-only oversight, sAGI reviews, audits, and renders verdicts without altering what it examines, ensuring accountability in the process of knowing.", "carrier": {"engine": "llama.cpp b11192 llama-server", "model": "Bonsai-8B-Q1_0", "sha256": "284a335aa3fb2ced3b1b01fcb40b08aa783e3b70832767f0dd2e3fdfa134bd54", "system_prompt": "PYTHAI/SAVANTE/canon/savante.persona", "system_prompt_sha256": "3da653c8a7eff2e23690c4f1f3065aa57a8a4d969addb2272c29875f7deec6ad", "where": "mindXhfgradio Space (public)"}, "date": "2026-09-26", "deliveries": 1, "finish": "stop", "id": "memory-0006", "limit": 257, "limit_reason": "set by the visitor's max-tokens dial (public iteration)", "question": "What is sAGI, in three sentences?", "response_sha256": "8fcda6de2d90edf24fc4f1b461e66e0090413990156903fac0c8ba2a6b61ccf8", "skill": {"bytes": 11907, "canon_commit": "029642b", "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169", "source": "github.com/cryptoAGI/savante"}, "timings": {"cpu_s": 178.62, "seconds": 11.31, "ttft_s": 7.938}, "usage": {"completion_tokens": 77, "prompt_tokens": 309, "total_tokens": 386}}

publication.json

@@ -1,30 +1,31 @@
 {
  "kind": "sagi.skill_publication/1",
- "improve_skill_version": "0.0.5",
- "iteration": 5,
+ "loop": "savante",
+ "improve_skill_version": "0.0.6",
+ "iteration": 6,
  "road": 1000,
- "remaining": 995,
- "memory_lines": 5,
+ "remaining": 994,
+ "memory_lines": 6,
  "refused": 0,
  "skill": {
+  "source": "github.com/cryptoAGI/savante",
   "canon_commit": "029642b",
   "sha256": "f5147a9bcc978251964121f1e55b0f635ebb5883a97c2108a435f4b4b1612169",
   "bytes": 11907
  },
- "next_interaction_runs_under": "the skill above — text changes wait for the gate",
+ "policy": "auto count, gated text (operator, 2026-09-26)",
  "headroom": {
-  "last": 59,
-  "mean_last_20": 69.0
+  "last": 180,
+  "mean_last_20": 87.5
  },
  "last": {
-  "n": 5,
-  "version": "0.0.5",
+  "n": 6,
+  "version": "0.0.6",
   "date": "2026-09-26",
   "limit": 257,
-  "completion_tokens": 198,
-  "headroom": 59
+  "completion_tokens": 77,
+  "headroom": 180
  },
- "proposals_queued": [],
- "policy": "auto count, gated text (operator, 2026-09-26)",
- "derived_by": "scripts/savante_loop.py with the canon's bind/skill_history.py"
+ "derived_by": "scripts/savante_loop.py with the canon's bind/skill_history.py",
+ "proposals_queued": []
 }