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.