docs(system-prompting): methodology corpus + leaks analysis + hermes register case study#42
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…register case study New docs/system-prompting/ (sibling to docs/eval, docs/specs) collating the estate's system- and user-prompt methodology: - methodology synthesis: grounds the house agent-prompting-manual.md in empirical structure + adds the user-prompt half the manual omits - leaks-corpus analysis: 7 findings from todie/system_prompts_leaks (438 prompts, 18 vendors; analysed against current upstream since the fork is ~1yr stale) - hermes ops-register case study: methodology applied to cerebral-agent, incl. a live-pod charter/tool-mismatch finding (no kubectl/helm/MCP wired) Reference only; no code. Register text itself delivered out-of-band per Principle 9.
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What
New
docs/system-prompting/directory (sibling todocs/eval,docs/specs) collating the estate's system- and user-prompt methodology.agent-prompting-manual.md(unsigned-paas) in empirical structure and adds the user-prompt half the manual omits.todie/system_prompts_leaks(438 prompts, 18 vendors). Analysed against current upstream because the todie fork is ~1yr stale.Scope
Reference docs only, no code. The register text itself is delivered out-of-band (OpenBao → Secret) per Principle 9 and is not reproduced here.
Related
Part of the hermes/cerebral-agent system-prompt work: fork
cerebral-work/cerebral-agent(rebrand) + unsigned-paas chart wiring (SOUL.md via Secret). Follow-up filed: wire kubectl/helm + grafana-MCP or narrow hermes' stated mission.Need help on this PR? Tag
/codesmithwith what you need. Autofix is disabled.