roast
Constructive critique via 5 HackerNews personas with claim validation.
Install / Use
npx skills add notque/vexjoy-agent --skill roastInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Education & ResearchSupported Platforms
Our assessment of roast
roast scores 88/100 on our quality scale, 215th of 451 Education & Research skills we index (top 48%).
Its SKILL.md is 12 KB long, well organised into 22 sections with 5 code examples: a thorough specification that gives an agent plenty to work with.
It has 425 GitHub stars, a meaningful sign that others use it.
Maintenance, license and trust
- The repository was last updated 12 days ago, so roast is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
roast compared with similar skills
All 4 of these similar skills score higher than roast; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| roast (this skill)by notque | 88 | 425 | 12d ago | SKILL.md |
| last30days-skillby mvanhorn | 100 | 64.4k | 1d ago | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 22d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 22d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 133.6k | 11d ago | SKILL.md |
Frequently asked questions
- How do I install roast?
- Run
npx skills add notque/vexjoy-agent --skill roast. The install tabs above show the steps for each supported agent. - Which AI agents does roast work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is roast safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is roast still maintained?
- The repository was last updated 12 days ago, so roast is actively maintained.
Skill content
View source on GitHubname: roast promoted_to: research description: "Constructive critique via 5 HackerNews personas with claim validation." user-invocable: false argument-hint: "<target to critique>" allowed-tools:
- Read
- Glob
- Grep
- Bash
- Task
- Skill
context: fork
routing:
triggers:
- "roast code"
- "devil's advocate"
- "stress test idea"
- "roast this"
- "stress test this idea"
- "poke holes in this" category: analysis pairs_with:
- assessment
- review
Roast: Devil's Advocate Analysis
Overview
This skill produces evidence-based constructive critique through 5 specialized HackerNews commenter personas: Skeptical Senior, Well-Actually Pedant, Enthusiastic Newcomer, Contrarian Provocateur, and Pragmatic Builder. The workflow spawns these personas in parallel, validates all claims against actual files and lines, and synthesizes findings into an improvement-focused report.
Key constraints baked into the workflow:
- CLAUDE.md must be read and followed before analysis begins
- Read-only mode (no Write, Edit, destructive Bash) is mandatory — enforced via
read-only-opsskill invocation - Every claim must reference specific file:line locations and be validated against actual evidence before appearing in the final report
- All 5 personas must complete before validation begins — no partial analysis
- Final report must include both validated strengths and problems, prioritized by impact
- Unvalidated claims are dismissed; unfounded critiques are shown with evidence explaining why
- Analysis must be direct and focused — no elaborate frameworks beyond the 5-persona + validation pattern
- Sarcasm and mockery are stripped during synthesis; technical accuracy and file references are preserved
Deep References
| When | Load | Content |
|---|---|---|
| Phase 5: writing the synthesized report | references/report-template.md | Full report template with tone transformation rules |
Instructions
Phase 1: ACTIVATE READ-ONLY MODE
Goal: Establish guardrails before any analysis begins.
Call the Skill tool with read-only-ops.
skill: read-only-ops
This ensures no modifications can occur during the analysis workflow.
Allowed operations:
Readtool for file contentsGlobtool for file patternsGreptool for content search- Bash:
ls,wc,du,git status,git log,git diff
Forbidden operations:
Writetool -- no file creationEdittool -- no file modification- Bash:
rm,mv,cp,mkdir,touch,git add,git commit,git push
If read-only mode cannot be activated, stop immediately. Never proceed with unguarded analysis.
Gate: Read-only mode active. Proceed only when gate passes.
Phase 2: GATHER CONTEXT
Goal: Understand the target thoroughly before spawning critical perspectives.
Step 1: Identify target type
| Input | Target | Action |
|-------|--------|--------|
| No argument | README.md + repo structure | Read README, survey project layout |
| @file.md | Specific file | Read that file, identify related files |
| Description | Described concept | Search repo for related implementation |
Step 2: Read key files
Use Read tool to examine: README.md, main documentation, key implementation files relevant to the target.
Step 3: Survey structure
Use Glob to map the landscape:
**/*.mdfor documentation coverage- Source code organization and entry points
- Configuration files and dependency declarations
Step 4: Search for patterns
Use Grep to find: specific claims to verify, usage patterns, dependency references, related test files.
Step 5: Ground verbal descriptions
If user describes a concept rather than pointing to a file, search the repo for existing implementation. Critique grounded in actual code beats critique of a strawman every time. Never analyze a verbal description without confirming the code exists.
Gate: Target identified and sufficient context gathered. Proceed only when gate passes.
Phase 3: SPAWN ROASTER AGENTS (Parallel)
Goal: Launch 5 agents in parallel, each embodying a roaster persona, analyzing the target with full evidence-gathering discipline.
Launch 5 general-purpose agents in parallel via Task tool. Load the full persona specification from the corresponding agent file into each prompt.
The 5 parallel tasks:
-
Skeptical Senior (
agents/reviewer-code.md, senior lens) Focus: Sustainability, maintenance burden, long-term viability -
Well-Actually Pedant (
agents/reviewer-code.md, pedant lens) Focus: Precision, intellectual honesty, terminological accuracy -
Enthusiastic Newcomer (
agents/reviewer-perspectives.md, newcomer lens) Focus: Onboarding experience, documentation clarity, accessibility -
Contrarian Provocateur (
agents/reviewer-perspectives.md, contrarian lens) Focus: Fundamental assumptions, alternative approaches -
Pragmatic Builder (
agents/reviewer-domain.md, pragmatic-builder lens) Focus: Production readiness, operational concerns
Each agent must:
- Call the Skill tool with
read-only-ops. Do this first to enforce no-modification guardrails. - Follow their systematic 5-step review process
- Tag ALL claims as
[CLAIM-N]with specificfile:linereferences - Provide concrete evidence for every claim — vague critiques are worthless and must be rejected during validation
- Search for actual implementation details rather than analyzing verbal descriptions
Agent prompt template: Tell each agent its persona name, role, target, and these requirements: (1) call read-only-ops first, (2) follow their systematic 5-step review process, (3) tag ALL claims as [CLAIM-N] with file:line references, (4) provide specific evidence for every claim. Load the appropriate reviewer agent file for each persona's lens.
CRITICAL: Wait for all 5 agents to complete before proceeding to Phase 4. Do not begin validation on partial results. Every persona must contribute before synthesis can happen.
Gate: All 5 agents complete with tagged claims. Proceed only when gate passes.
Phase 4: COORDINATE (Validate Claims)
Goal: Verify every [CLAIM-N] against actual evidence before including in the report.
Collect and validate every [CLAIM-N] from all 5 agents.
Step 1: Collect all claims
Extract every [CLAIM-N] tag from all 5 agent outputs. For each, track:
- Claim ID and text
- Source persona (Senior, Pedant, Newcomer, Contrarian, Builder)
- Referenced file:line location
Step 2: Validate each claim
For each [CLAIM-N], read the referenced file/line using Read tool and assign a verdict:
| Verdict | Meaning | Criteria | |---------|---------|----------| | VALID | Claim is accurate | Evidence directly supports it | | PARTIAL | Overstated but has merit | Some truth, some exaggeration | | UNFOUNDED | Not supported | Evidence contradicts or doesn't exist | | SUBJECTIVE | Opinion, can't verify | Matter of preference/style |
Critical: You must read the file and check the line. Visual inspection misses nuance. "Obviously valid" is a rationalization word. Do not accept a claim because it sounds right or all personas agree on it — consensus is not the same as correctness.
Step 3: Cross-reference
Note claims found independently by multiple agents. If 3+ personas independently identify the same issue, escalate to HIGH priority regardless of individual severity.
Step 4: Prioritize
Sort VALID and PARTIAL findings by impact:
- HIGH: Core functionality, security, or maintainability
- MEDIUM: Important improvements with moderate impact
- LOW: Minor issues or polish
Gate: All claims validated with evidence. Proceed only when gate passes.
Phase 5: SYNTHESIZE (Generate Report)
Goal: Transform aggressive persona outputs into constructive, actionable report.
Follow the full template in references/report-template.md. Key synthesis rules:
- Filter by verdict: Only VALID and PARTIAL claims appear in improvement opportunities
- Dismissed section: UNFOUNDED claims go in dismissed section with evidence showing why. Transparency matters — users need to understand why certain critiques don't hold up.
- Subjective section: SUBJECTIVE claims noted as opinion-based. User decides.
- Strengths required: Coordinator validates what works well. Not just problems. Include "Validated Strengths" section.
- Constructive tone: Strip sarcasm, mockery, dismissive language from agent outputs. Preserve technical accuracy and file references.
- Implementation roadmap: Group actions by immediacy (immediate / short-term / long-term)
Validation Summary Table (include in report):
## Claim Validation Summary
| Claim | Agent | Verdict | Evidence |
|-------|-------|---------|----------|
| [CLAIM-1] | Senior | VALID | [file:line shows X] |
| [CLAIM-2] | Pedant | PARTIAL | [true that X, but Y mitigates] |
| [CLAIM-3] | Newcomer | UNFOUNDED | [code shows otherwise] |
Gate: Report complete with all sections populated. Analysis done.
Examples
Example 1: Roast a README
User says: "Roast this repo"
skill: roast
Actions:
- Activate read-only mode (Phase 1)
- Read README.md, survey repo structure, identify key files (Phase 2)
- Spawn 5 persona agents in parallel, each analyzing README + structure (Phase 3)
- Collect all [CLAIM-N] tags, validate each against actual files (Phase 4)
- Synthesize constructive report with prioritized improvement opportunities (Phase 5) Result: Evidence-based critique with actionable improvements and validated strengths
Example 2: Roast a Design Doc
User says: "Poke holes in the architecture doc"
skill: roast @README.md
Actions:
- Activate read-only mode, read the target document (Phases 1-2)
- Survey related implementation files referenced by the doc (Phase 2)
- Spawn 5 agents focused on that document and its claims (Phase 3)
- Validate claims against both doc content and referenced code (Phase 4)
- Report with architecture-specific improvements and alternatives (Phase 5) Result: Multi-perspective architecture review grounded in implementation
Example 3: Roast an Approach
User says: "Devil's advocate on using SQLite for the error learning database"
skill: roast the idea of using SQLite for the error learning database
Actions:
- Search repo for existing SQLite implementation and related code (Phase 2)
- Spawn agents to critique both the concept AND actual code found (Phase 3)
- Validate claims against implementation evidence (Phase 4)
- Report grounded in real code, not just theoretical critique (Phase 5) Result: Critique anchored in actual implementation, not a strawman
Error Handling
Error: "Agent Returns Claims Without File References"
Cause: Persona agent skipped evidence-gathering or analyzed verbally Solution:
- Dismiss ungrounded claims as UNFOUNDED — they cannot be validated
- If majority of claims lack references, re-run that specific agent with explicit instruction to cite file:line
- Never promote ungrounded claims to the validated findings section
Error: "Read-Only Mode Not Activated"
Cause: Phase 1 skipped or read-only-ops skill invocation failed
Solution:
- Stop all analysis immediately
- Call the Skill tool with
read-only-ops. Do this before proceeding. - If skill unavailable, manually enforce: no Write, Edit, or destructive Bash
Error: "Agent Attempts to Fix Issues"
Cause: Persona agent crossed from analysis into implementation Solution:
- Discard any modifications attempted
- Extract only the analytical findings from that agent's output
- Remind: this is read-only analysis, fixes are the user's decision
Error: "No Target Found or Empty Repository"
Cause: User invoked roast without specifying target and no README.md exists Solution:
- Check for alternative entry points: CONTRIBUTING.md, docs/, main source fi
Truncated for display — read the full file on GitHub.
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
