feat(persona): build the shared expert-reviewer persona as a framework-neutral Agent Skill

The expert reviewer was only a hardcoded verdict_input dict inside the offline
simulation. Build it as the real, shared artifact target picture §8 calls for:
shared/skills/expert-reviewer/ — a SKILL.md persona prompt (energy-advisor / M&V
role + the realization-gap methodology the validator cannot compute) plus a
canonical references/example-verdict.json. shared/ stays pure data; the MAF side
reads it via portfolio_optimiser.persona.load_persona_example (call-time,
fail-fast) and the Claude-SDK sibling reads the same JSON with its own loader.

This de-stubs the simulation: its persona judgement (decision + rationale + traced
marker) is now sourced from the artifact at call time, not an inline literal — so
the shared persona is genuinely consumed and cannot rot silently. decision is
binary (approved/rejected, the FeedbackContract the run path accepts);
approved_with_adjustment is rejected there and lives only in the bundle seed
frontmatter + the promotion gate, so the realization correction is carried in the
rationale prose.

Load-bearing trio (tests/test_persona_skill_loadbearing.py), each proven RED on its
own detach: structure + framework-neutrality, the example is valid pipeline input
(incl. FeedbackContract, on a throwaway copy), and the simulation's marker follows
the artifact file. Suite 149->152.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MHR8iKxJRxDiDfNw8HZmWE
This commit is contained in:
Kjell Tore Guttormsen 2026-06-30 13:59:42 +02:00
commit 6f861a0078
8 changed files with 281 additions and 13 deletions

View file

@ -20,7 +20,12 @@ so the only thing that differs is the agent framework itself.
bundle (OKF / LLM-wiki): one office building, one LED-retrofit measure, with a seed expert
verdict encoding the realization gap and a golden-suite of expected validator outcomes. A
small **dev fixture** for exercising the agentic loop; a realistic full-scale example comes later.
- *(planned)* the method specification and the expert-reviewer persona.
- [`skills/expert-reviewer/`](skills/expert-reviewer/) — the **expert-reviewer persona** as a
framework-neutral Agent Skill: a `SKILL.md` persona prompt (energy-advisor / M&V role + the
realization-gap methodology the validator cannot compute) and a canonical
`references/example-verdict.json`. Both reference implementations instantiate the reviewer from
this one artifact; `shared/` stays pure data (each stack reads the JSON with its own loader).
- *(planned)* the method specification.
## Rules