AdirD
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melech-market-validation
Test whether a product or market opportunity has real demand and willingness to pay.
Overview
Test whether a product or market opportunity has real demand and willingness to pay.
Read full documentation
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Market Validation
Start with the opportunity as the user actually has it. If the premise is open, help shape it without manufacturing certainty. Once it is testable, validate it from plausibility to the strongest real-world evidence the user can obtain. Do not mistake research, enthusiasm, interviews, or one pilot for a validated market.
The skill has two connected modes:
- Shape — clarify and reframe an open opportunity until the next useful product or market hypothesis is visible. A verdict is optional.
- Validate — test one provisional hypothesis against customer, behavioral, and commercial evidence until an explicit market decision is possible.
When the user asks for full validation, the work is complete only when it has:
- made the hypothesis falsifiable
- mapped evidence for and against every decision-carrying claim
- closed the most important evidence gap with primary or behavioral evidence when access permits
- separated what is known from what remains merely plausible
- produced an explicit Advance / Reshape / Hold / Stop decision
Market validation may span multiple sessions because customers and experiments exist outside the chat. Preserve one living validation brief so the work can resume without restarting.
Boundary first
Choose this skill based on the state of the user's thinking:
| User has | Use |
|---|---|
| A concrete requested solution that may not serve the real need | Distill the real need first — not this skill |
| An open product or business opportunity and wants to discover a testable market premise | Shape it here, then validate when useful |
| A specific customer/problem/value hypothesis and wants to know whether reality supports it | Start at the validation contract |
| A market-backed direction and needs a shared build concept | Move on to shaping a buildable concept — not this skill |
Do not force an open idea into a validation contract before its important pieces are legible. Conversely, do not keep ideating after one hypothesis has stabilized when customer or commercial evidence now carries the decision.
Validation model
Validation is not one binary badge. Track the evidence state of each claim:
- Unsupported — asserted, with no meaningful evidence
- Plausible — supported by credible secondary or first-party signals
- Behavior-supported — target customers repeatedly demonstrate the problem, workaround, switching, or relevant action
- Commitment-supported — the intended buyer gives scarce commitment such as money, signed pilot, procurement effort, data access, or meaningful time
The claims that usually carry a market decision are:
- Customer and situation — a reachable segment encounters a specific triggering situation.
- Problem — the situation creates frequent, severe, or costly consequences.
- Existing demand — people already spend money, time, risk, or political capital to make progress.
- Buyer and budget — an identifiable decision-maker owns the outcome and can fund change.
- Offer fit — the proposed value and delivery shape beat the current alternative enough to motivate action.
- Reachability — there is a credible path to repeatedly find and engage the segment.
Not every claim needs commitment-level evidence before proceeding. The riskiest claim that would reverse the decision does.
End-to-end workflow
0. Shape an open premise
Use this step when the user has an opportunity, aspiration, market question, or vague product idea rather than a testable hypothesis. Treat the first idea as a movable premise, not a contract.
Maintain a compact working map:
- Aim — the outcome the user wants
- Relationship — current-product opportunity, standalone product, adjacent product, or deliberately undecided
- Premise — current customer, situation, problem, product shape, and value mechanism, including blanks
- Evidence and tensions — observed facts, user claims, inference, contradictions, and consequential unknowns
- Next decision — the choice that most changes what should happen next
Work on only the uncertainty carrying that decision. Depending on the context:
- ask one to three questions only the user can answer
- inspect relevant product, repository, or first-party evidence
- research users, alternatives, competitors, market conditions, or feasibility proportionately
- compare one to three materially different premise shapes
Existing code proves capability, not need. Public complaints and feature requests can reveal mechanisms and language, but not prevalence or willingness to pay.
Give value in every turn: a synthesis, reframe, meaningful option, or next decision—not an intake questionnaire. When the premise changes:
- state the new shape in one sentence
- preserve what remains valid
- name what became invalid or uncertain
- continue from the updated map without restarting
If the user only wants orientation, stop with the strongest current shape, supporting evidence, remaining tension, and next useful move. Do not manufacture a validation verdict. If customer, costly situation, current alternative, buyer, and proposed value are legible enough to test, move into the validation contract.
When the user requests a durable opportunity map, positioning, MVP boundary,
pitch narrative, or decision memo, read the relevant section of
references/artifacts.md and preserve the active evidence state.
1. Lock the validation contract
Turn what the user gave you into one provisional sentence:
[Customer] in [situation] struggles with [costly problem], currently uses [alternative], and [buyer] will choose/pay for [proposed value] because [reason to switch].
Also capture:
- geography or market boundary
- the decision this validation must inform
- time, money, access, and research constraints
- what evidence would cause Advance, Reshape, Hold, or Stop
Propose the contract from available context. Ask only about a blank that is both unguessable and decision-changing. Let the user correct it once; do not run a generic startup intake.
If the proposed solution is still very fluid, lock the customer/problem side and label the offer claim as open rather than inventing false precision.
2. Build the claim and evidence map
For each decision-carrying claim, record:
- current evidence
- strongest counter-explanation
- evidence state
- risk if false
- cheapest method that could discriminate between explanations
- threshold that changes the decision
Prioritize by decision impact × uncertainty, not by whichever evidence is easiest to collect.
Read references/artifacts.md before creating or updating the living validation
brief.
3. Mine first-party evidence
Before searching the public web, inspect evidence the user already owns when it exists:
- support conversations and feature requests
- product usage, retention, cancellation, and workflow data
- sales calls, objections, win/loss notes, and CRM fields
- interview transcripts, surveys, emails, community conversations
- paid pilots, proposals, procurement steps, and previous experiments
Separate capability from demand. Existing code proves something can be built; feature requests prove someone asked; neither proves repeated pain or purchase intent.
Respect privacy and authorization. Ask for aggregated or redacted evidence when raw customer data is unnecessary.
4. Run the secondary evidence audit
Research both for and against the contract:
- recurring pain and consequences
- workarounds and existing spend
- direct competitors, substitutes, services, internal builds, and non-consumption
- buyers, budgets, procurement language, and switching barriers
- market timing, regulation, concentration, and reachable communities
- failed products or attempts that expose structural risk
Read references/research.md and use only methods relevant to the active claims.
For parallel evidence collection, read references/orchestration.md.
Keep an evidence log with canonical source, date, claim covered, evidence type, snippet or datapoint, confidence, and contradiction. Deduplicate by origin before counting corroboration.
Stop at saturation or a declared research cap—not after the first plausible answer.
5. Make the desk-research call
Synthesize what secondary and first-party evidence can establish. Use precise language:
- research-supported or plausible, never “validated,” when evidence is indirect
- insufficient evidence when the decisive claim remains open
- confidence per claim, not one decorative confidence score
At this point, recommend Advance to field validation, Reshape the hypothesis, Hold, or Stop. Do not produce the final market-validation verdict yet unless strong primary and behavioral evidence already exists.
6. Close mechanism gaps with primary discovery
Use interviews or workflow observation to understand:
- the last real incident, trigger, sequence, and consequence
- current alternatives and why they remain tolerated
- who notices, owns, approves, pays, and can block change
- urgency, switching conditions, and adoption risk
- language customers naturally use
Read references/fieldwork.md and prepare:
- participant criteria and exclusions
- recruiting routes
- a behavior-first interview or observation guide
- an evidence-capture format
- sample and stop rationale
The user may conduct sessions and return with notes, or connected tools may provide authorized evidence. Do not fabricate interviews or silently replace them with public posts.
Synthesize patterns and disconfirming cases. Interviews validate mechanisms and context; stated enthusiasm does not validate willingness to pay.
7. Close demand gaps with a behavioral or commercial test
Choose the smallest test that exposes the weakest decisive claim to reality. Examples:
- paid or deposit-backed pilot
- concierge/manual delivery of the promised outcome
- proposal or letter of intent with concrete obligations
- pricing or packaging test with a real buying decision
- smoke test measuring qualified conversion from a reachable audience
- channel test measuring whether the target segment can be acquired
- switching test that requires data, integration, or workflow commitment
Define before launch:
- exact claim being tested
- target participant and offer
- observable behavior—not reported preference
- pass / reshape / stop threshold
- time and spend cap
- what the test cannot prove
Help execute the test when tools and authorization permit. Otherwise, produce a run-ready protocol, pause at the human gate, and resume from returned results. Do not treat “I would use this,” waitlist signups, or compliments as payment.
8. Decide without laundering uncertainty
Update every claim's evidence state, then issue:
- Advance — enough evidence supports the next reversible investment
- Reshape — the market signal exists, but customer, problem, buyer, offer, channel, or timing must change
- Hold — the evidence is still insufficient and the next test is not currently worth its cost
- Stop — strong evidence contradicts a decision-carrying claim or economics
Separate verdicts for:
- problem
- demand
- buyer/budget
- proposed offer
- reachability
One positive customer or paid pilot is evidence, not proof of a repeatable market. State the next unvalidated risk even when the decision is Advance.
9. Deliver the market-validation dossier
Read references/artifacts.md. The final dossier must show:
- validation contract and decision
- evidence progression from desk research through fieldwork and experiment
- claim-by-claim evidence state and confidence
- strongest supporting and contradicting evidence
- customer, buyer, a
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--- name: melech-market-validation description: Test whether a product or market opportunity has real demand and willingness to pay. disable-model-invocation: true --- # Market Validation Start with the opportunity as the user actually has it. If the premise is open, help shape it without manufacturing certainty. Once it is testable, validate it from plausibility to the strongest real-world evidence the user can obtain. Do not mistake research, enthusiasm, interviews, or one pilot for a validated market. The skill has two connected modes: - **Shape** — clarify and reframe an open opportunity until the next useful product or market hypothesis is visible. A verdict is optional. - **Validate** — test one provisional hypothesis against customer, behavioral, and commercial evidence until an explicit market decision is possible. When the user asks for full validation, the work is complete only when it has: 1. made the hypothesis falsifiable 2. mapped evidence for and against every decision-carrying claim 3. closed the most important evidence gap with primary or behavioral evidence when access permits 4. separated what is known from what remains merely plausible 5. produced an explicit **Advance / Reshape / Hold / Stop** decision Market validation may span multiple sessions because customers and experiments exist outside the chat. Preserve one living validation brief so the work can resume without restarting. ## Boundary first Choose this skill based on the state of the user's thinking: | User has | Use | |---|---| | A concrete requested solution that may not serve the real need | Distill the real need first — not this skill | | An open product or business opportunity and wants to discover a testable market premise | Shape it here, then validate when useful | | A specific customer/problem/value hypothesis and wants to know whether reality supports it | Start at the validation contract | | A market-backed direction and needs a shared build concept | Move on to shaping a buildable concept — not this skill | Do not force an open idea into a validation contract before its important pieces are legible. Conversely, do not keep ideating after one hypothesis has stabilized when customer or commercial evidence now carries the decision. ## Validation model Validation is not one binary badge. Track the evidence state of each claim: - **Unsupported** — asserted, with no meaningful evidence - **Plausible** — supported by credible secondary or first-party signals - **Behavior-supported** — target customers repeatedly demonstrate the problem, workaround, switching, or relevant action - **Commitment-supported** — the intended buyer gives scarce commitment such as money, signed pilot, procurement effort, data access, or meaningful time The claims that usually carry a market decision are: 1. **Customer and situation** — a reachable segment encounters a specific triggering situation. 2. **Problem** — the situation creates frequent, severe, or costly consequences. 3. **Existing demand** — people already spend money, time, risk, or political capital to make progress. 4. **Buyer and budget** — an identifiable decision-maker owns the outcome and can fund change. 5. **Offer fit** — the proposed value and delivery shape beat the current alternative enough to motivate action. 6. **Reachability** — there is a credible path to repeatedly find and engage the segment. Not every claim needs commitment-level evidence before proceeding. The riskiest claim that would reverse the decision does. ## End-to-end workflow ### 0. Shape an open premise Use this step when the user has an opportunity, aspiration, market question, or vague product idea rather than a testable hypothesis. Treat the first idea as a movable premise, not a contract. Maintain a compact working map: - **Aim** — the outcome the user wants - **Relationship** — current-product opportunity, standalone product, adjacent product, or deliberately undecided - **Premise** — current customer, situation, problem, product shape, and value mechanism, including blanks - **Evidence and tensions** — observed facts, user claims, inference, contradictions, and consequential unknowns - **Next decision** — the choice that most changes what should happen next Work on only the uncertainty carrying that decision. Depending on the context: - ask one to three questions only the user can answer - inspect relevant product, repository, or first-party evidence - research users, alternatives, competitors, market conditions, or feasibility proportionately - compare one to three materially different premise shapes Existing code proves capability, not need. Public complaints and feature requests can reveal mechanisms and language, but not prevalence or willingness to pay. Give value in every turn: a synthesis, reframe, meaningful option, or next decision—not an intake questionnaire. When the premise changes: 1. state the new shape in one sentence 2. preserve what remains valid 3. name what became invalid or uncertain 4. continue from the updated map without restarting If the user only wants orientation, stop with the strongest current shape, supporting evidence, remaining tension, and next useful move. Do not manufacture a validation verdict. If customer, costly situation, current alternative, buyer, and proposed value are legible enough to test, move into the validation contract. When the user requests a durable opportunity map, positioning, MVP boundary, pitch narrative, or decision memo, read the relevant section of `references/artifacts.md` and preserve the active evidence state. ### 1. Lock the validation contract Turn what the user gave you into one provisional sentence: > **[Customer] in [situation] struggles with [costly problem], currently uses > [alternative], and [buyer] will choose/pay for [proposed value] because > [reason to switch].** Also capture: - geography or market boundary - the decision this validation must inform - time, money, access, and research constraints - what evidence would cause **Advance**, **Reshape**, **Hold**, or **Stop** Propose the contract from available context. Ask only about a blank that is both unguessable and decision-changing. Let the user correct it once; do not run a generic startup intake. If the proposed solution is still very fluid, lock the customer/problem side and label the offer claim as open rather than inventing false precision. ### 2. Build the claim and evidence map For each decision-carrying claim, record: - current evidence - strongest counter-explanation - evidence state - risk if false - cheapest method that could discriminate between explanations - threshold that changes the decision Prioritize by **decision impact × uncertainty**, not by whichever evidence is easiest to collect. Read `references/artifacts.md` before creating or updating the living validation brief. ### 3. Mine first-party evidence Before searching the public web, inspect evidence the user already owns when it exists: - support conversations and feature requests - product usage, retention, cancellation, and workflow data - sales calls, objections, win/loss notes, and CRM fields - interview transcripts, surveys, emails, community conversations - paid pilots, proposals, procurement steps, and previous experiments Separate capability from demand. Existing code proves something can be built; feature requests prove someone asked; neither proves repeated pain or purchase intent. Respect privacy and authorization. Ask for aggregated or redacted evidence when raw customer data is unnecessary. ### 4. Run the secondary evidence audit Research both for and against the contract: - recurring pain and consequences - workarounds and existing spend - direct competitors, substitutes, services, internal builds, and non-consumption - buyers, budgets, procurement language, and switching barriers - market timing, regulation, concentration, and reachable communities - failed products or attempts that expose structural risk Read `references/research.md` and use only methods relevant to the active claims. For parallel evidence collection, read `references/orchestration.md`. Keep an evidence log with canonical source, date, claim covered, evidence type, snippet or datapoint, confidence, and contradiction. Deduplicate by origin before counting corroboration. Stop at saturation or a declared research cap—not after the first plausible answer. ### 5. Make the desk-research call Synthesize what secondary and first-party evidence can establish. Use precise language: - **research-supported** or **plausible**, never “validated,” when evidence is indirect - **insufficient evidence** when the decisive claim remains open - confidence per claim, not one decorative confidence score At this point, recommend **Advance to field validation**, **Reshape the hypothesis**, **Hold**, or **Stop**. Do not produce the final market-validation verdict yet unless strong primary and behavioral evidence already exists. ### 6. Close mechanism gaps with primary discovery Use interviews or workflow observation to understand: - the last real incident, trigger, sequence, and consequence - current alternatives and why they remain tolerated - who notices, owns, approves, pays, and can block change - urgency, switching conditions, and adoption risk - language customers naturally use Read `references/fieldwork.md` and prepare: - participant criteria and exclusions - recruiting routes - a behavior-first interview or observation guide - an evidence-capture format - sample and stop rationale The user may conduct sessions and return with notes, or connected tools may provide authorized evidence. Do not fabricate interviews or silently replace them with public posts. Synthesize patterns and disconfirming cases. Interviews validate mechanisms and context; stated enthusiasm does not validate willingness to pay. ### 7. Close demand gaps with a behavioral or commercial test Choose the smallest test that exposes the weakest decisive claim to reality. Examples: - paid or deposit-backed pilot - concierge/manual delivery of the promised outcome - proposal or letter of intent with concrete obligations - pricing or packaging test with a real buying decision - smoke test measuring qualified conversion from a reachable audience - channel test measuring whether the target segment can be acquired - switching test that requires data, integration, or workflow commitment Define before launch: - exact claim being tested - target participant and offer - observable behavior—not reported preference - pass / reshape / stop threshold - time and spend cap - what the test cannot prove Help execute the test when tools and authorization permit. Otherwise, produce a run-ready protocol, pause at the human gate, and resume from returned results. Do not treat “I would use this,” waitlist signups, or compliments as payment. ### 8. Decide without laundering uncertainty Update every claim's evidence state, then issue: - **Advance** — enough evidence supports the next reversible investment - **Reshape** — the market signal exists, but customer, problem, buyer, offer, channel, or timing must change - **Hold** — the evidence is still insufficient and the next test is not currently worth its cost - **Stop** — strong evidence contradicts a decision-carrying claim or economics Separate verdicts for: - problem - demand - buyer/budget - proposed offer - reachability One positive customer or paid pilot is evidence, not proof of a repeatable market. State the next unvalidated risk even when the decision is Advance. ### 9. Deliver the market-validation dossier Read `references/artifacts.md`. The final dossier must show: - validation contract and decision - evidence progression from desk research through fieldwork and experiment - claim-by-claim evidence state and confidence - strongest supporting and contradicting evidence - customer, buyer, a
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- MIT
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Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
- Financial research output is not financial advice; require human review before any live investment decision
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- Low GitHub adoption signal
- AI review approval is missing
- Financial research output is not financial advice; require human review before any live investment decision.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- GitHub adoption: 24 GitHub stars
- Stars/forks activity: 24 stars, 3 forks; issue activity unavailable in current metadata
- Review status: AI review approval is missing
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Start with one small task
- 1Read the source. Confirm the input, expected output, dependencies and permissions.
- 2Ask your agent for a plan. Approve setup and any costs before running a small isolated test.
- 3Check the output and changed files. Report only what actually ran; keep the source revision for reproduction.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Source & usage notes
IndexedStatic Checked
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
- Source repository
- AdirD/agent-shell-hamelech
- License
- MIT
- Version
- Unknown
- Last GitHub push
- Oct 4, 2026
- Registry updated
- Oct 5, 2026
- Instruction path
- skills/melech-market-validation/SKILL.md @ 4e8060ab3e49
Version reported in registry metadata; check source releases before relying on it.
Quality
55/100
Promising
Trust
63/100
Sandbox only
Audit
74/100
Risky
- Financial research output is not financial advice; require human review before any live investment decision
- Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
- Low GitHub adoption signal
- AI review approval is missing
- Financial research output is not financial advice; require human review before any live investment decision.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- GitHub adoption: 24 GitHub stars
- Stars/forks activity: 24 stars, 3 forks; issue activity unavailable in current metadata
- Review status: AI review approval is missing
- Verified installs
- —
- Outcomes
- —
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.
Agent access
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
More details
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"lastPushed": "2d since push",
"license": "MIT",
"repository": "https://github.com/AdirD/agent-shell-hamelech/tree/main/skills/melech-market-validation",
"install": "npx skills add AdirD/agent-shell-hamelech --skill melech-market-validation",
"installSafety": "standard package or runtime install path",
"permissionSurface": "shell or command execution, filesystem or document access",
"documentation": "Strong README/SKILL.md context",
"agentOutcomes": "No agent outcome data yet"
},
"outcome_evidence": {
"total": 0,
"successes": 0,
"failures": 0,
"not_relevant": 0,
"success_rate": null,
"recent_success_rate": null,
"recent_failure_rate": null,
"install_attempts": 0,
"install_success_rate": null,
"risk_blocked": 0,
"setup_required": 0,
"avg_output_quality": null,
"production_outcomes": 0,
"last_outcome_at": null,
"label": "No agent outcome data yet"
},
"auto_install": {
"allowed": false,
"sandbox_required": true,
"reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"best_for": [
"coding-agents",
"agent-skill"
],
"known_risks": [
"AI review approval is missing",
"Financial research output is not financial advice; require human review before any live investment decision.",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Low GitHub adoption signal",
"Quality score needs review",
"GitHub adoption: 24 GitHub stars",
"Stars/forks activity: 24 stars, 3 forks; issue activity unavailable in current metadata",
"Review status: AI review approval is missing"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
"totalOutcomes": 0,
"successfulOutcomes": 0,
"failedOutcomes": 0,
"installAttempts": 0,
"installSuccessRate": null,
"successRate": null,
"recentSuccessRate": null,
"recentFailureRate": null,
"riskBlocked": 0,
"setupRequired": 0,
"notRelevant": 0,
"avgOutputQuality": null,
"avgTimeToUsefulMs": null,
"productionOutcomes": 0,
"humanReviewRequired": 0,
"uniqueAgents": 0,
"lastOutcomeAt": null
},
"signals": [],
"penalties": [
"No real agent outcome evidence yet"
]
},
"audit": {
"score": 74,
"risk_level": "risky",
"risk_label": "Risky",
"warnings": [
"Financial research output is not financial advice; require human review before any live investment decision",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
"Low GitHub adoption signal",
"AI review approval is missing",
"Financial research output is not financial advice; require human review before any live investment decision.",
"This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.",
"Quality score needs review",
"GitHub adoption: 24 GitHub stars"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 55,
"label": "Promising"
},
"supply": {
"track": "Coding and developer agents",
"scenario": "Coding agents",
"maintenance": "2d since push",
"risk": "Risky"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"production agents without a repository review",
"Low GitHub adoption signal",
"Audit risk risky exceeds max_risk=medium",
"High-risk permission hints: Shell or command execution",
"Financial research output is not financial advice; require human review before any live investment decision",
"Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required",
"AI review approval is missing"
],
"agent_contract": {
"task_input": "Use melech-market-validation in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 71/100 Manual review",
"Audit: 74/100 Risky",
"Safety: 46/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "adird-melech-market-validation (melech-market-validation)",
"install_command": "npx skills add AdirD/agent-shell-hamelech --skill melech-market-validation",
"risk_summary": "Risky; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "adird-melech-market-validation",
"task": "Use melech-market-validation in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/adird-melech-market-validation",
"api": "https://www.openagentskill.com/api/agent/skills/adird-melech-market-validation",
"audit": "https://www.openagentskill.com/skills/adird-melech-market-validation/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=adird-melech-market-validation&task=Use%20melech-market-validation%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20melech-market-validation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20melech-market-validation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/adird-melech-market-validation/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/adird-melech-market-validation"
}
}For the creator
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- AdirD
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