custom-deep-research — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited custom-deep-research (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Your job splits in three: compose a sharp brief, delegate the gathering, then interrogate what comes back. Never hand-roll your own research subagents alongside the harness — it fans out, fetches, and adversarially fact-checks internally; duplicating that is slower and unverified.
Pick the template for the caller's focus and fill it from everything already learned (calibrate verdict, loaded context, clarify-intent answers if already gathered). A sharp brief is the difference between a focused report and a vague one — weave constraints and success criteria into the question itself.
Focus `product` (used by /create-specs — always full depth):
We are designing: <feature/product>, part of <OpenLatch enterprise control plane | SaferSkills
developer-led wedge> — two-motion strategy: SaferSkills free/public/dev-led, OpenLatch
paid/enterprise/CISO-led (buyer: CISO at 1000+ employee enterprises).
Context: <constraints, stack, timeline>. This succeeds if: <success criteria>.
Research and report on (note dates, cite sources):
1. Business context — how this market segment works today; who pays for what.
2. Value — what outcome users/buyers actually want here; willingness-to-pay signals.
3. State of the art — how leading products solve this; recent launches and lessons (dated).
4. Market & competitive analysis — direct/adjacent competitors, their approach, gaps we can own.Focus `technical` (used by /create-plans):
We are implementing: <unit> in <repo> (<stack summary>).
Constraints: <repo conventions, schema-driven codegen, coverage gates, etc.>.
Research and report on (2026 state of the art, note dates, cite sources):
1. Recommended patterns/designs/frameworks for <domain>, with official-docs guidance.
2. Risks and anti-patterns — documented failure cases, each with a mitigation.
3. Key trade-offs where credible sources genuinely disagree.Drop an item that doesn't apply; add one domain-specific item if the topic demands it (compliance, accessibility, pricing). One comprehensive call — the harness fans out internally.
Invoke the `deep-research` skill with the brief as its arguments and let it run to completion.
You are the critical reviewer, not a forwarder:
RESEARCH SYNTHESIS (<focus>, <date>)
State of the art: …
Landscape: … (market+competitors for product; frameworks+patterns for technical)
Existing foundations: … (what we already have in repo/vault to build on)
Risks & mitigations: …
Key trade-offs: …
Gaps & unknowns: … (and whether they matter)
Sources: <the citations that carried weight>Carry forward only conclusions that change the design — the caller gets the synthesis, not the raw report.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.