Fairy_tale
Fable/Mythos-informed workflow augmentation for agent skills and plugins
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add bonginkan/fairy_tale
Maintenance
fresh
Pushed today
Risk
Needs review
Low GitHub adoption signal
GitHub quality
18
73/100 Quality · 72/100 Trust
Coverage tags
Review notes
Low GitHub adoption signal · Quality score needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
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
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
18 GitHub stars
Repo activity
18 stars, 3 forks
Maintenance
Pushed today
License
Apache-2.0
Install
npx skills add bonginkan/fairy_tale
Install safety
standard package or runtime install path
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 18 GitHub stars
- Stars/forks activity: 18 stars, 3 forks; issue activity unavailable in current metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
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
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add bonginkan/fairy_tale
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 64/100
- Audit
- 80/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Do not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution
Agent safety v2
52/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- High-risk permission hints: Shell or command execution
- Low GitHub adoption signal
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add bonginkan/fairy_taleAgent resolve plan
Let an agent verify fit before installing.
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%20Fairy_tale%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Fairy_tale%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/bonginkan-fairy-tale/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use Fairy_tale in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Fairy_tale%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/bonginkan-fairy-tale/install
Install command: npx skills add bonginkan/fairy_tale
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/bonginkan-fairy-tale/install
LLM text format
/api/skills/bonginkan-fairy-tale/install?format=text
Find alternatives
/api/skills/search?q=Fairy_tale&limit=3
Agent prompt
Use Fairy_tale for this task. Review https://www.openagentskill.com/api/skills/bonginkan-fairy-tale/install, then install with: npx skills add bonginkan/fairy_taleRegistry metadata
Agent-readable profile for automatic skill selection.
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/bonginkan-fairy-tale
LLM text
/api/registry/manifest/bonginkan-fairy-tale?format=text
Install alias
/api/registry/install/bonginkan-fairy-tale
Recommend
/api/registry/recommend?task=Use%20Fairy_tale%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Python, Claude Code, OpenAI Agents
Audit report
Needs review · 80/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Companion skill for Research agents
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Research agents
Trust label
Strong shortlist
Install path
Command ready
Use when
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 73/100 quality profile
review first
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX18 GitHub stars
Stars/forks activity
FIX18 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSApache-2.0
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 18 GitHub stars
- Stars/forks activity: 18 stars, 3 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
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A comprehensive collection of ready-to-use scientific and research skills for AI agents.
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A curated list of resources and tools for enhancing Claude AI workflows.
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Overview
# fairy_tale
[日本語版 README](README_ja.md)
Research workspace for turning public Fable/Mythos-class agent reports into reproducible workflow-augmentation skills and plugin packages.
Think of this project as the nightingale's scorebook.
In Andersen's tale, the court becomes enchanted by a jeweled mechanical bird, only to learn that the living song matters more than the glittering machine. Fairy Tale does not try to steal the bird, open the cage, or pretend to be the emperor's locksmith. It studies public descriptions and field reports of unusually good agent work, separates melody from myth, and writes down the repeatable patterns as skills, checks, adapters, and sample results.
This repository does not attempt to bypass access controls, export controls, or model safeguards. It studies public official information and public user reports to define reusable workflow enhancements that can be run with Codex, Claude Code, or other agent-skill-compatible coding assistants.
## Quick Start
Install the Claude Code plugin directly from GitHub:
```text /plugin marketplace add bonginkan/fairy_tale /plugin install fairy-tale@fairy-tale-marketplace ```
Codex's current plugin CLI supports GitHub shorthand marketplaces such as `owner/repo`. Add the repository as a marketplace, then install `fairy-tale`:
```text codex plugin marketplace add bonginkan/fairy_tale codex plugin add fairy-tale@fairy-tale-marketplace ```
If your Codex build does not expose the plugin CLI yet, use the plugin directory UI and add `bonginkan/fairy_tale` as a marketplace source.
For skill-only use without a plugin, install just the canonical skills:
```bash mkdir -p "$HOME/.codex/skills" curl -fsSL https://raw.githubusercontent.com/bonginkan/fairy_tale/main/install.sh | sh -s -- --agent codex ```
Use `--agent claude` for `~/.claude/skills`, `--agent agents` for `~/.agents/skills`, or `--target /absolute/skills/dir` for an explici
Platform compatibility
Technical details
- Version
- 1.0.0
- License
- Apache-2.0
- Last updated
- Aug 1, 2026
- Published
- Aug 1, 2026
Frameworks & tools
Decision snapshot
Companion skill
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 81/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
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
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for Fairy_tale, ready for a manual X post.
For a repeatable workflow, this is a skill worth shortlisting before another blank prompt. Fairy_tale: Fable/Mythos-informed workflow augmentation for agent skills and plugins 18 stars https://www.openagentskill.com/skills/bonginkan-fairy-tale?ref=x
Optional reply with install command
Listing + install path for Fairy_tale: https://www.openagentskill.com/skills/bonginkan-fairy-tale?ref=x Install: npx skills add bonginkan/fairy_tale
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- bonginkan
- Source
- bonginkan/fairy_tale
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Community indexed listing is attributed to bonginkan 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
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/bonginkan-fairy-tale)
[](https://www.openagentskill.com/skills/bonginkan-fairy-tale)
[](https://www.openagentskill.com/skills/bonginkan-fairy-tale/audit)
[](https://www.openagentskill.com/skills/bonginkan-fairy-tale)Author
bonginkan
@bonginkan
Platform fit
Health signals
- GitHub stars
- 18
- Quality score
- 46/100
- Last GitHub push
- Aug 1, 2026
- Framework hints
- 1
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption18 GitHub starsFIX
- Stars/forks activity18 stars, 3 forks; issue activity unavailable in current metadataFIX
- Recent maintenancePushed todayPASS
- License clarityApache-2.0PASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surfaceINFO
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