AGENT SKILL

mm:shadow

Surfaces and promotes shadow-layer observations into the structural shadow identity layer

License 许可
MIT
最近更新
2026-11-14
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★ 21
Forks
12

01 前言 Front Matter

name
mm:shadow
description
Surfaces and promotes shadow-layer observations into the structural shadow identity layer
user-invocable
true

03 SKILL.md 正文

mm-shadow

Shadow as structural cultivation — CV7.E4.S4.

The mirror has an across-conversation view that the user doesn't. Shadow work is where that view becomes useful: recurring tensions, avoidances, contradictions, and blind spots that repeat across conversations but haven't been seen from the outside. This skill surfaces them with provenance, grounds each observation in specific memories, and writes accepted observations to the structural shadow layer — where they can then compose into the prompt on turns that touch shadow material.

Asymmetric activation: Shadow surfaces only when reception's touches_shadow axis fires AND the structural layer has confirmed content. It surfaces with provenance ("this has come up in 3 contexts"), never as a bare verdict.


Usage

/mm:shadow                             — scan and surface observations
/mm:shadow apply <proposal_id>         — accept an observation into the shadow layer
/mm:shadow reject <proposal_id>        — reject (source memories unchanged)
/mm:shadow list [--status pending|accepted|rejected]
/mm:shadow show                        — show current structural shadow layer content

1. Show current shadow layer (orientation)

mirror shadow show

2. Scan for candidate observations

mirror shadow scan [--limit 50]

Scans memories where:

  • layer='shadow'
  • memory_type IN ('tension', 'pattern')
  • readiness_state IN ('observed', 'candidate') — includes memories advanced by mm-consolidate

Calls the LLM (Gemini Flash) once with the full pool to surface 1-3 grounded observations. Each observation is stored as a pending shadow_observation in the consolidations table.

The LLM will return nothing when there is insufficient evidence. That is correct behavior — the cost of false positive shadow surfacing is high.


3. Present each observation to the user

For each observation, show:

  • The pattern name (title)
  • The grounded observation text with evidence note
  • The source memory IDs

Ask: accept / edit / reject?


4. Apply or reject

Accept:

mirror shadow apply <proposal_id>

Accept with edited content:

mirror shadow apply <proposal_id> \
  --content "User-revised observation text"

Reject:

mirror shadow reject <proposal_id>

What happens on acceptance:

  • Observation is appended to identity.shadow.profile
  • Source memories advance to readiness_state='acknowledged'
  • Provenance is recorded in the consolidations table

Rejected proposals leave the shadow layer and source memories unchanged.


5. List history

mirror shadow list [--status pending|accepted|rejected]

Composition behavior (automatic)

Once the shadow layer has content, it composes into Mirror Mode prompts when:

  • Reception's touches_shadow axis is True (the turn involves existential tension, avoidance, psychological patterns, or shadow-adjacent themes)
  • AND MEMORY_RECEPTION=1 is set (the default)

The shadow section includes a provenance framing note. It never surfaces as a bare verdict — always grounded in evidence.

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