Creator · zhnnky329
Last updated · Sep 2, 2026
Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence.
Creator · zhnnky329
Last updated · Sep 2, 2026
Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence.
Creator · zhnnky329
Last updated · Sep 2, 2026
Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence.
Creator · zhnnky329
Last updated · Sep 2, 2026
Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence.
Sandbox only
Install targets
Codex install prompt
Install the "final-method-explainer" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/final-method-explainer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zhnnky329-final-method-explainer","task":"Install final-method-explainer","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Maintenance
fresh
11d since push
Risk
Safe to try
Quality score needs review
GitHub quality
695
75/100 Quality · 81/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
695 GitHub stars
Repo activity
695 stars, 31 forks
Maintenance
11d since push
License
MIT
Install
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainerDo not use when
Alternative
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Alternative
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Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zhnnky329-final-method-explainer/install
Agent should check
Copy prompt
Task: Use final-method-explainer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zhnnky329-final-method-explainer/install
Install command: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zhnnky329-final-method-explainer/install
LLM text format
/api/skills/zhnnky329-final-method-explainer/install?format=text
Find alternatives
/api/skills/search?q=final-method-explainer&limit=3
Agent prompt
Use final-method-explainer for this task. Review https://www.openagentskill.com/api/skills/zhnnky329-final-method-explainer/install, then install with: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainerRegistry metadata
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.
Manifest
/api/registry/manifest/zhnnky329-final-method-explainer
LLM text
/api/registry/manifest/zhnnky329-final-method-explainer?format=text
Install alias
/api/registry/install/zhnnky329-final-method-explainer
Recommend
/api/registry/recommend?task=Use%20final-method-explainer%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO695 GitHub stars
Stars/forks activity
INFO695 stars, 31 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: final-method-explainer description: Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence. ---
# Purpose
Explain the selected method completely without re-authoring why the human chose it.
# Preconditions
- `rigor_profile` is `submission` or writer handoff is explicitly requested. - Human method choice and result verdicts are recorded in `qx_decisions.jsonl`. - Approved code ran and final result/robustness evidence exists.
# Sources
Use:
- `qx_method_card.md` - `qx_decisions.jsonl` - `planning/model_assumptions.md` - `planning/symbol_table.md` - `qx_code_plan.md` - final run summary and result analysis - robustness summary/report
Read legacy candidate and iteration logs only for migration.
# Workflow
1. Resolve the final method and baseline from the latest non-stale human decisions. 2. Transcribe the human's selection rationale faithfully and cite its `decision_id`. 3. Explain: - goal and scope; - assumptions, including human-confirmed necessity labels; - symbols and units; - mathematical formulation; - inputs, outputs, objective/criteria, and constraints; - solution procedure; - baseline and why it is valid; - fallback trigger and whether it fired; - validation, robustness, limitations, and applicable range. 4. Ensure formulas match code and symbol table. 5. Save `methods/Qx/qx_final_method_explanation.md`.
# Rules
- Do not infer the chosen method from best metrics. - Do not invent the why-this-method narrative. - Do not create a new pending decision artifact. - Do not restate a long iteration diary; include only material eliminated alternatives and evidence. - Do not include unsupported numerical claims.
# Verification
- Final method and rationale trace to decision IDs. - Assumptions, symbols, formulas, units, and code agree. - Baseline is usable rather than merely diagnostic. - Risks, fallback behavior, and limitations are explicit. - The explanation is self-contained enough for the writer.
Source provenance
Decision snapshot
695 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for final-method-explainer, ready for a manual X post.
final-method-explainer: Build the authoritative final method explanation for a submission-ready subquestion from the... 695 stars https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=x
Listing + install path for final-method-explainer: https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=x Install: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zhnnky329 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer/audit)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)zhnnky329
@zhnnky329
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "final-method-explainer" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/final-method-explainer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zhnnky329-final-method-explainer","task":"Install final-method-explainer","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Maintenance
fresh
11d since push
Risk
Safe to try
Quality score needs review
GitHub quality
695
75/100 Quality · 81/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
695 GitHub stars
Repo activity
695 stars, 31 forks
Maintenance
11d since push
License
MIT
Install
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainerDo not use when
Alternative
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Alternative
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Alternative
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npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zhnnky329-final-method-explainer/install
Agent should check
Copy prompt
Task: Use final-method-explainer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zhnnky329-final-method-explainer/install
Install command: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zhnnky329-final-method-explainer/install
LLM text format
/api/skills/zhnnky329-final-method-explainer/install?format=text
Find alternatives
/api/skills/search?q=final-method-explainer&limit=3
Agent prompt
Use final-method-explainer for this task. Review https://www.openagentskill.com/api/skills/zhnnky329-final-method-explainer/install, then install with: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainerRegistry metadata
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.
Manifest
/api/registry/manifest/zhnnky329-final-method-explainer
LLM text
/api/registry/manifest/zhnnky329-final-method-explainer?format=text
Install alias
/api/registry/install/zhnnky329-final-method-explainer
Recommend
/api/registry/recommend?task=Use%20final-method-explainer%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO695 GitHub stars
Stars/forks activity
INFO695 stars, 31 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: final-method-explainer description: Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence. ---
# Purpose
Explain the selected method completely without re-authoring why the human chose it.
# Preconditions
- `rigor_profile` is `submission` or writer handoff is explicitly requested. - Human method choice and result verdicts are recorded in `qx_decisions.jsonl`. - Approved code ran and final result/robustness evidence exists.
# Sources
Use:
- `qx_method_card.md` - `qx_decisions.jsonl` - `planning/model_assumptions.md` - `planning/symbol_table.md` - `qx_code_plan.md` - final run summary and result analysis - robustness summary/report
Read legacy candidate and iteration logs only for migration.
# Workflow
1. Resolve the final method and baseline from the latest non-stale human decisions. 2. Transcribe the human's selection rationale faithfully and cite its `decision_id`. 3. Explain: - goal and scope; - assumptions, including human-confirmed necessity labels; - symbols and units; - mathematical formulation; - inputs, outputs, objective/criteria, and constraints; - solution procedure; - baseline and why it is valid; - fallback trigger and whether it fired; - validation, robustness, limitations, and applicable range. 4. Ensure formulas match code and symbol table. 5. Save `methods/Qx/qx_final_method_explanation.md`.
# Rules
- Do not infer the chosen method from best metrics. - Do not invent the why-this-method narrative. - Do not create a new pending decision artifact. - Do not restate a long iteration diary; include only material eliminated alternatives and evidence. - Do not include unsupported numerical claims.
# Verification
- Final method and rationale trace to decision IDs. - Assumptions, symbols, formulas, units, and code agree. - Baseline is usable rather than merely diagnostic. - Risks, fallback behavior, and limitations are explicit. - The explanation is self-contained enough for the writer.
Source provenance
Decision snapshot
695 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for final-method-explainer, ready for a manual X post.
final-method-explainer: Build the authoritative final method explanation for a submission-ready subquestion from the... 695 stars https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=x
Listing + install path for final-method-explainer: https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=x Install: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zhnnky329 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer/audit)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)zhnnky329
@zhnnky329
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "final-method-explainer" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/final-method-explainer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zhnnky329-final-method-explainer","task":"Install final-method-explainer","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Maintenance
fresh
11d since push
Risk
Safe to try
Quality score needs review
GitHub quality
695
75/100 Quality · 81/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
695 GitHub stars
Repo activity
695 stars, 31 forks
Maintenance
11d since push
License
MIT
Install
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainerDo not use when
Alternative
174.2K Stars
npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zhnnky329-final-method-explainer/install
Agent should check
Copy prompt
Task: Use final-method-explainer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zhnnky329-final-method-explainer/install
Install command: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zhnnky329-final-method-explainer/install
LLM text format
/api/skills/zhnnky329-final-method-explainer/install?format=text
Find alternatives
/api/skills/search?q=final-method-explainer&limit=3
Agent prompt
Use final-method-explainer for this task. Review https://www.openagentskill.com/api/skills/zhnnky329-final-method-explainer/install, then install with: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainerRegistry metadata
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.
Manifest
/api/registry/manifest/zhnnky329-final-method-explainer
LLM text
/api/registry/manifest/zhnnky329-final-method-explainer?format=text
Install alias
/api/registry/install/zhnnky329-final-method-explainer
Recommend
/api/registry/recommend?task=Use%20final-method-explainer%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO695 GitHub stars
Stars/forks activity
INFO695 stars, 31 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: final-method-explainer description: Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence. ---
# Purpose
Explain the selected method completely without re-authoring why the human chose it.
# Preconditions
- `rigor_profile` is `submission` or writer handoff is explicitly requested. - Human method choice and result verdicts are recorded in `qx_decisions.jsonl`. - Approved code ran and final result/robustness evidence exists.
# Sources
Use:
- `qx_method_card.md` - `qx_decisions.jsonl` - `planning/model_assumptions.md` - `planning/symbol_table.md` - `qx_code_plan.md` - final run summary and result analysis - robustness summary/report
Read legacy candidate and iteration logs only for migration.
# Workflow
1. Resolve the final method and baseline from the latest non-stale human decisions. 2. Transcribe the human's selection rationale faithfully and cite its `decision_id`. 3. Explain: - goal and scope; - assumptions, including human-confirmed necessity labels; - symbols and units; - mathematical formulation; - inputs, outputs, objective/criteria, and constraints; - solution procedure; - baseline and why it is valid; - fallback trigger and whether it fired; - validation, robustness, limitations, and applicable range. 4. Ensure formulas match code and symbol table. 5. Save `methods/Qx/qx_final_method_explanation.md`.
# Rules
- Do not infer the chosen method from best metrics. - Do not invent the why-this-method narrative. - Do not create a new pending decision artifact. - Do not restate a long iteration diary; include only material eliminated alternatives and evidence. - Do not include unsupported numerical claims.
# Verification
- Final method and rationale trace to decision IDs. - Assumptions, symbols, formulas, units, and code agree. - Baseline is usable rather than merely diagnostic. - Risks, fallback behavior, and limitations are explicit. - The explanation is self-contained enough for the writer.
Source provenance
Decision snapshot
695 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for final-method-explainer, ready for a manual X post.
final-method-explainer: Build the authoritative final method explanation for a submission-ready subquestion from the... 695 stars https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=x
Listing + install path for final-method-explainer: https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=x Install: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zhnnky329 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer/audit)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)zhnnky329
@zhnnky329
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
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84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsSandbox only
Install targets
Codex install prompt
Install the "final-method-explainer" agent skill from https://github.com/zhnnky329/MathModeling-skills/tree/main/.claude/skills/final-method-explainer. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"zhnnky329-final-method-explainer","task":"Install final-method-explainer","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Maintenance
fresh
11d since push
Risk
Safe to try
Quality score needs review
GitHub quality
695
75/100 Quality · 81/100 Trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
695 GitHub stars
Repo activity
695 stars, 31 forks
Maintenance
11d since push
License
MIT
Install
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add zhnnky329/MathModeling-skills --skill final-method-explainerDo not use when
Alternative
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npx skills add anthropics/skills --skill frontend-design
Alternative
84.4K Stars
npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
174.2K Stars
npx skills add anthropics/skills --skill canvas-design
Alternative
174.2K Stars
npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/zhnnky329-final-method-explainer/install
Agent should check
Copy prompt
Task: Use final-method-explainer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20final-method-explainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/zhnnky329-final-method-explainer/install
Install command: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/zhnnky329-final-method-explainer/install
LLM text format
/api/skills/zhnnky329-final-method-explainer/install?format=text
Find alternatives
/api/skills/search?q=final-method-explainer&limit=3
Agent prompt
Use final-method-explainer for this task. Review https://www.openagentskill.com/api/skills/zhnnky329-final-method-explainer/install, then install with: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainerRegistry metadata
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.
Manifest
/api/registry/manifest/zhnnky329-final-method-explainer
LLM text
/api/registry/manifest/zhnnky329-final-method-explainer?format=text
Install alias
/api/registry/install/zhnnky329-final-method-explainer
Recommend
/api/registry/recommend?task=Use%20final-method-explainer%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO695 GitHub stars
Stars/forks activity
INFO695 stars, 31 forks; issue activity unavailable in current metadata
Recent maintenance
PASS11d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
--- name: final-method-explainer description: Build the authoritative final method explanation for a submission-ready subquestion from the method card, human decision ledger, code plan, final results, and robustness evidence. ---
# Purpose
Explain the selected method completely without re-authoring why the human chose it.
# Preconditions
- `rigor_profile` is `submission` or writer handoff is explicitly requested. - Human method choice and result verdicts are recorded in `qx_decisions.jsonl`. - Approved code ran and final result/robustness evidence exists.
# Sources
Use:
- `qx_method_card.md` - `qx_decisions.jsonl` - `planning/model_assumptions.md` - `planning/symbol_table.md` - `qx_code_plan.md` - final run summary and result analysis - robustness summary/report
Read legacy candidate and iteration logs only for migration.
# Workflow
1. Resolve the final method and baseline from the latest non-stale human decisions. 2. Transcribe the human's selection rationale faithfully and cite its `decision_id`. 3. Explain: - goal and scope; - assumptions, including human-confirmed necessity labels; - symbols and units; - mathematical formulation; - inputs, outputs, objective/criteria, and constraints; - solution procedure; - baseline and why it is valid; - fallback trigger and whether it fired; - validation, robustness, limitations, and applicable range. 4. Ensure formulas match code and symbol table. 5. Save `methods/Qx/qx_final_method_explanation.md`.
# Rules
- Do not infer the chosen method from best metrics. - Do not invent the why-this-method narrative. - Do not create a new pending decision artifact. - Do not restate a long iteration diary; include only material eliminated alternatives and evidence. - Do not include unsupported numerical claims.
# Verification
- Final method and rationale trace to decision IDs. - Assumptions, symbols, formulas, units, and code agree. - Baseline is usable rather than merely diagnostic. - Risks, fallback behavior, and limitations are explicit. - The explanation is self-contained enough for the writer.
Source provenance
Decision snapshot
695 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for final-method-explainer, ready for a manual X post.
final-method-explainer: Build the authoritative final method explanation for a submission-ready subquestion from the... 695 stars https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=x
Listing + install path for final-method-explainer: https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=x Install: npx skills add zhnnky329/MathModeling-skills --skill final-method-explainer
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to zhnnky329 but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer/audit)
[](https://www.openagentskill.com/skills/zhnnky329-final-method-explainer?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)zhnnky329
@zhnnky329
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
174.2K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
84.4K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
174.2K StarsAnthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
174.2K StarsPermission surface
database access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
database access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
database access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
database access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness