phase-execution

Runs autonomous OSINT investigation cycles with investigator and fact-checker agent spawns.

43|8|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/buriedsignals/spotlight --skill phase-execution-buriedsignals
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: phase-execution
Source: https://github.com/buriedsignals/spotlight/tree/main/skills/phase-execution
Command: npx skills add https://github.com/buriedsignals/spotlight --skill phase-execution-buriedsignals

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Coordinating multi-agent OSINT research is error-prone: investigators produce malformed findings, fact-checkers cite unverified sources, and loops run without stopping criteria. This Skill orchestrates bounded execution cycles that spawn investigator and fact-checker agents, validate their outputs, and stop at editorial gates. ## Core Features & Use Cases - Bounded execution cycles: Runs up to 5 autonomous cycles, each spawning an investigator agent, validating findings.json, then spawning a fact-checker agent with structural and evidence validators. - Correction and stall handling: Re-spawns agents for structural, evidence, or editorial corrections with hard caps, and triggers a Stall Protocol when cycles are exhausted. - Readiness gating: Evaluates six readiness criteria (source independence, unresolved disputes, document trail, gap assessment) before resolving to the Gate 1 human review. - Use Case: An investigator agent gathers findings on a lead, the fact-checker independently verifies each claim against archived sources, and the cycle repeats until readiness criteria pass or the case is blocked. ## Quick Start Invoke this phase after methodology approval to run autonomous investigation cycles against the case directory until findings meet readiness criteria.

Frequently Asked Questions about phase-execution

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run autonomous OSINT investigation cycles with AI agents?▼

Enter this phase with an approved methodology and a spotlight_resolve result assigning phase execution. It spawns an investigator agent in EXECUTION mode, validates findings.json, then spawns a fact-checker agent, repeating up to five cycles until readiness criteria pass.

How does the fact-checker verify investigator findings?▼

The fact-checker applies a SIFT source credibility check, independently assesses claim-to-evidence grounding, archives every source before citing it, and writes verdicts to fact-check.json. Two validators then check structural shape and evidence integrity before the editorial review.

What happens when validator scripts fail during an execution cycle?▼

A failed structural validator triggers one bounded shape-only correction re-spawn of the investigator; a failed evidence validator triggers one fact-checker re-spawn. Two failed corrections exhaust the case and record a blocked status instead of looping indefinitely.

When does the execution phase stop and present results to a human?▼

It stops when all six readiness criteria pass, including 3+ high-confidence findings, 2+ independent sources per key claim, and no unresolved disputes. The resolver then hands off to the Gate 1 owner, which authors summaries and presents the human gate.

What are the limitations of the autonomous execution loop?▼

The loop is capped at five cycles and cannot be extended, reset from conversation memory, or auto-advanced past a blocked status. Continuing after exhaustion requires a revised methodology and a new human approval receipt.