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SKILL verified Apache-2.0 Self-run

Insight Explore

skill-allemaar-open-skills-insight-explore · by allemaar

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Install

$ agentstack add skill-allemaar-open-skills-insight-explore

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
9d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

/explore

Divergent thinking — generate 3+ implementation options, then converge on a recommendation. Produces options, not plans.

> Structured execution spec: [protocol.yon](protocol.yon). Read it for the canonical rules and step sequence; this file is explanation. The two must stay in sync — if you edit one, update the other and refresh the @STAMP date.

> Brainstorming Protocol — explore before committing. /insight-explore generates alternatives (divergent). /insight-assess evaluates them (convergent). /plan-create designs the chosen approach.

Phase 1 — Divergence

  1. Analyze constraints — what are we optimizing for? What are the hard requirements vs. preferences?
  2. Option A: The Standard Pattern — the obvious, well-trodden approach. What would most engineers reach for first?
  3. Option B: The Performance Way — optimized for speed, scale, or efficiency. Possibly more complex.
  4. Option C: The Minimalist — YAGNI. Smallest footprint that still solves the problem.

Additional options may be added if the problem space warrants them (e.g., event-driven, type-safe, or zero-dependency variants).

Phase 2 — Convergence

Compare all options across:

  • DX — developer experience, API ergonomics, debuggability
  • Robustness — error handling, edge case coverage, failure modes
  • Timeline fit — how long does each take to implement and validate?
  • Alignment — does it match existing patterns and coding standards in the repo?

Phase 3 — Recommendation

Output:

  • Winner — which option and why
  • Reason — 1–2 sentences, referencing the comparison
  • Next step — ask the user: "Shall I /plan-create this?"

Rules

  • MUST generate at least 2 distinct options (3 is the target).
  • MUST NOT write code or make changes — this is ideation only.

Next Steps

  • /insight-assess — evaluate the winner in depth before committing
  • /plan-create — design the chosen approach

> Human output. This skill's handler-facing output obeys the human-output > contract (human-output/SKILL.md).

> Next skills. On completion, run the Next Skills protocol (next-skills/SKILL.md): surface the next-skills recommendations from front-matter for the caller to pick. Offer only — never auto-invoke.

> Self-improvement. On completion, run the Self-Improvement Protocol (self-improve/SKILL.md): if this run surfaced a concrete, blocking-or-recurring weakness in this skill, propose a specific fix for the handler to approve. Conservative — silent otherwise. Never auto-apply.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.