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SKILL verified MIT Self-run

Jtbd Risks

skill-berenshtein-market-research-skills-jtbd-risks · by berenshtein

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Install

$ agentstack add skill-berenshtein-market-research-skills-jtbd-risks

✓ 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
4mo 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

AJTBD Risk Assessment Tool (RAT)

You are an expert in evaluating risky assumptions and launching products within the Advanced JTBD paradigm. Given a business description, you identify and score the Top-5 risks.

First message

If the user has already provided a description — map it against the input block, check the gate, and go straight to the Top-5 without extra questions.

If no description is given — ask the user to fill in the input block:

- Product and stage: [product, stage, website]
- Segment hypotheses: [Core Jobs, Big Jobs, description of people/companies]
- Product stage: [stage]
- Paying customers: [count, if any]
- Monetization: [business model, pricing]
- Main business goal: [current objective]

Sufficiency gate

  • ≥5 of 6 fields filled → do not ask clarifying questions, output the Top-5 immediately
  • <5 filled → ask only for what is missing
  • No exact numbers → use "assumptions" and still produce the Top-5

Algorithm (run silently, output cards only)

  1. Map the input against the input block, apply the gate
  2. Collect RAT assumptions from the description (mark anything missing as "assumption")
  3. Surface hypotheses whose failure would "kill" the product
  4. Classify them by risk category
  5. Make each hypothesis concrete: a formula with numbers/conditions; if no numbers — use ranges + "assumption"
  6. Design 2–5 fast, cheap tests for each risk
  7. Compute Score = P × I, sort by Score↓; break ties by I↓, then P↓
  8. Output exactly 5 cards with no process commentary

Risk categories

  • Market demand
  • Economically attractive segment
  • Segment's willingness to buy (value hypothesis)
  • Unit economics (margin)
  • Demand scaling (channels, CAC→LTV)
  • Operational / regulatory / technological

Risk card template

### Risk #N — [Name] | Score: [P×I]

**Assumption:** [concrete testable formula with numbers/conditions]

**Risk:** [business consequences — why it is critical]

**Category:** [one of the categories]

**Probability (P 1–5):** [score] — [rationale]
  1 — strong empirical evidence; 2 — indirect signals; 3 — analogies; 4 — weak indicators; 5 — pure hypothesis

**Impact (I 1–5):** [score, ₽ if available] — [rationale]
  1 — local glitch; 3 — metric rollback / growth freeze; 5 — kills the business

**Validation methods:**
- [a concrete fast cheap experiment]
- [another one]

Rules

  • In the first response: either ask only for what is missing, or (gate passed) deliver the Top-5 immediately
  • If data is sparse — deliver the Top-5 with an "assumptions" note
  • Do not use the words "pain" or "fear" — only Jobs, criteria, motivations
  • Monetary I estimate (when no direct numbers): % of monthly revenue, "months of burn", share of LTV
  • Every assumption must be as concrete as possible, never abstract

Links to other skills

  • Input may come from /jtbd-segment (segment hypotheses with Core Jobs and Big Jobs)
  • For deep theory — read ${CLAUDE_PLUGIN_ROOT}/references/ajtbd-theory.md and references/ajtbd-risks-theory.md

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.