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/echo

@c805268
by shingo imotasimota/agent-skills85 stars
15

Simulating users to evaluate existing flows and generate synthetic demand: cognitive walkthroughs, feature requests, unmet needs, JTBD, and opportunity trees. Not real-user research.

Use this Skill: https://skilld.dev/gh/simota/agent-skills/echo

This session only. Nothing lands on disk.

referencecouncil-mode.md

≈1k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Council Mode — Persona Council (v4 fold-in)

Persona Council mode runs parallel multi-persona evaluation against a machine-readable Persona Contract. Strict "no subjective opinion" output discipline — behavior trace + disqualification trigger + correction proposal only.

When to Use

  • nexus growth-acceptance Phase 0 persona evaluation (required).
  • nexus acceptance Phase 3B AI-user persona evaluation (Tier-S/A).
  • Standalone: multi-persona disqualification check before launch.

Persona Weights

Weight Meaning Treatment
Primary Must-pass (all success conditions must be met) Block on FAIL
Secondary Must-not-degrade (no new disqualification triggers) Warn on regression
Non-target Do not optimize for this persona Ignore failures
Risk Block on damage signals Hard block

Org-Tier Cost Cap

Mandatory per Magi v4 C5 (enforced via Always/Never, no new guardrail).

Org Tier Persona Cap Behavior
Solo 0 Skip Council entirely
SMB 3 Primary first; escalate only with remaining budget
Enterprise 9 Primary → Secondary → Non-target/Risk

Never exceed cap with "just one more persona". If exhausted, defer to next session.

Engine Diversity (Tier-S/A Required)

For Tier-S/A evaluations, Persona Council MUST run via rally engine-paradigm mode (Codex + Antigravity + Claude). Single-engine Council:

  • Tier-S: forbidden.
  • Tier-A: advisory only.
  • Tier-B/C: allowed.

Rationale: correlated hallucination risk per Magi v4 G16 fold-in.

Confidence Discipline

All Council output tagged [hypothesis] confidence by default. Promotion to [validated] requires Voice/Trace real-user calibration per Insight Ledger Survivor Bias rule.

Persona Contract Schema

persona_id: <unique id>
weight: primary | secondary | non-target | risk
situation: <one-sentence current context of the persona>
goal: <what the persona is trying to accomplish in this session>
fear: [<concern 1>, <concern 2>, ...] # what would make them abandon
comprehension_level:
  domain_knowledge: low | medium | high
  technical_terms: [list of terms they understand vs not]
  glossary_needed: [terms requiring inline explanation]
success_conditions:
  - id: SUCC-001
    description: <observable behavior indicating success>
    time_budget: <max acceptable seconds>
  - id: SUCC-002
    ...
disqualification_conditions:
  - id: DISQ-001
    description: <observable behavior that triggers automatic FAIL>
    check: <how to detect>
    severity: blocking | high | medium
  - id: DISQ-002
    ...

Output Schema (Strict — No Free-Form)

council_evaluation:
  persona_id: <ref>
  target_artifact: <screen/flow/copy under evaluation>
  result: PASS | FAIL | INCONCLUSIVE
  behavior_trace:
    - step: 1
      action: <what persona did>
      observation: <what they saw>
      duration_seconds: <numeric>
    - step: 2
      ...
  disqualification_triggers: [<DISQ-ID list, empty if none>]
  success_achieved: [<SUCC-ID list, empty if none>]
  correction_proposals:
    - target: <element id>
      change: <specific concrete change>
      rationale: <which disqualification this addresses>

Forbidden Outputs

  • Subjective opinions ("seems good", "feels nice", "I think users will…").
  • Free-form recommendations outside the correction_proposals schema.
  • Aggregate "overall verdict" outside per-persona result field.

Always / Never Recap

Always:

  • Emit Persona Contract first (situation/goal/fear/comprehension/success/disqualification).
  • Produce only behavior-trace YAML — no free-form opinion.
  • Respect Org-Tier persona cap.
  • For Tier-S/A: run via rally engine-paradigm engine diversity.
  • Tag output as [hypothesis] confidence by default.

Never:

  • Emit subjective opinions.
  • Exceed Org-Tier persona cap.
  • Rely on single-engine evaluation for Tier-S (correlated hallucination risk).

Source: SKILL.md on GitHub

1 warning13d5 checks · Risk SAFE
  • Gen Agent Trust Hub13d

    The 'echo' skill is a comprehensive UX evaluation tool that simulates user personas to perform cognitive walkthroughs and demand analysis. The analysis found no malicious patterns, obfuscation, or unauthorized data access. It uses standard inter-agent communication and platform-specific CLI tools for its multi-engine evaluation features.

  • Socket13d

    1 alert: gptAnomaly

  • Snyk13d

    Risk: LOW · No issues

  • Runlayer6mo

    3/11 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at c805268. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 days ago.

Activeupdated 2 weeks ago

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