Install
$ agentstack add skill-allemaar-open-skills-insight-explore ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →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
- Analyze constraints — what are we optimizing for? What are the hard requirements vs. preferences?
- Option A: The Standard Pattern — the obvious, well-trodden approach. What would most engineers reach for first?
- Option B: The Performance Way — optimized for speed, scale, or efficiency. Possibly more complex.
- 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-createthis?"
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.
- Author: allemaar
- Source: allemaar/open-skills
- License: Apache-2.0
- Homepage: https://allemaar.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.