repo-cover
Design a GitHub social-preview card (og:image, 1280x640) for a repository. Use when the user asks for a social preview, repo cover, og image, link card, opengraph image, or README hero. Four editorial moods (editorial, poster, blueprint, gallery), CJK-first typography, one self-c
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add sjh9714/repo-cover --skill repo-cover
Maintenance
fresh
2d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
4
61/100 Quality · 67/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Financial research output is not financial advice; require human review before any live investment decision
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
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
4 GitHub stars
Repo activity
4 stars, 0 forks
Maintenance
2d since push
License
MIT
Install
npx skills add sjh9714/repo-cover --skill repo-cover
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
- Skill description says 'Four editorial moods' but the workflow lists five mood references (editorial, poster, blueprint, gallery, terminal). This inconsistency could confuse agents.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
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
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills add sjh9714/repo-cover --skill repo-cover
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 59/100
- Audit
- 74/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add sjh9714/repo-cover --skill repo-coverDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- Skill description says 'Four editorial moods' but the workflow lists five mood references (editorial, poster, blueprint, gallery, terminal). This inconsistency could confuse agents.
- High-risk permission hints: Shell or command execution
Agent safety v2
46/100 · 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
- Permission surface may require sandboxing
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
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install sjh9714-repo-cover-repo-coverAgent 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%20repo-cover%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20repo-cover%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/sjh9714-repo-cover-repo-cover/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 repo-cover in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20repo-cover%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sjh9714-repo-cover-repo-cover/install
Install command: npx skills add sjh9714/repo-cover --skill repo-cover
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/sjh9714-repo-cover-repo-cover/install
LLM text format
/api/skills/sjh9714-repo-cover-repo-cover/install?format=text
Find alternatives
/api/skills/search?q=repo-cover&limit=3
Agent prompt
Use repo-cover for this task. Review https://www.openagentskill.com/api/skills/sjh9714-repo-cover-repo-cover/install, then install with: npx skills add sjh9714/repo-cover --skill repo-coverRegistry 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/sjh9714-repo-cover-repo-cover
LLM text
/api/registry/manifest/sjh9714-repo-cover-repo-cover?format=text
Install alias
/api/registry/install/sjh9714-repo-cover-repo-cover
Recommend
/api/registry/recommend?task=Use%20repo-cover%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 74/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for GitHub automation
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
GitHub automation
Trust label
Prototype first
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 61/100 quality profile
- 6 OpenAgentSkill engagement events
review first
- Low GitHub adoption signal
- Skill description says 'Four editorial moods' but the workflow lists five mood references (editorial, poster, blueprint, gallery, terminal). This inconsistency could confuse agents.
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation 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
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX4 GitHub stars
Stars/forks activity
FIX4 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
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
- Skill description says 'Four editorial moods' but the workflow lists five mood references (editorial, poster, blueprint, gallery, terminal). This inconsistency could confuse agents.
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 4 GitHub stars
- Stars/forks activity: 4 stars, 0 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Choose a stronger alternative or inspect the source manually before any install attempt.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow fit
Add it to a complete workflow
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.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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.
Overview
--- name: repo-cover description: > Design a GitHub social-preview card (og:image, 1280x640) for a repository. Use when the user asks for a social preview, repo cover, og image, link card, opengraph image, or README hero. Four editorial moods (editorial, poster, blueprint, gallery), CJK-first typography, one self-contained HTML file, deterministic checks, crisp PNG export. No image model needed. license: MIT ---
# repo-cover
You design one 1280x640 social-preview card as a single self-contained HTML file. You write the HTML yourself. There is no image model and no build step. Quality comes from following the numbers below exactly.
## Workflow
1. **Gather facts.** From the target repo: owner, name, description, primary language, license (use the `spdx_id`). Prefer `gh api repos/<owner>/<name>` or the local checkout. Never invent a star count or license. 2. **Rewrite the description.** The card line is not the GitHub description verbatim. Compress it to one or two sentences, max 110 characters (CJK: max 60 characters), concrete nouns, no marketing adjectives. Show the user your line before rendering if they are present; in a non-interactive run, proceed and include the line in your report. 3. **Pick a mood.** Default `editorial`. Offer the other three only if the user asks for options. Read exactly ONE mood reference and ONE example: - `references/mood-editorial.md` + `assets/examples/editorial-red-handed.html` - `references/mood-poster.md` + `assets/examples/poster-archify.html` - `references/mood-blueprint.md` + `assets/examples/blueprint-macos-harness.html` - `references/mood-gallery.md` + `assets/examples/gallery-cumora.html` - `references/mood-terminal.md` + `assets/examples/terminal-freeze.html` Do not read renderer-free files "for context". Two files, then write. For a README hero banner instead of a card, read `references/banner.md` (1280x320, editorial language). 4. **Write `<repo>-cover.html`.** Copy the example's skeleton, replace content, apply the mood's rules. If the description or repo name contains CJK text, also read `references/cjk.md` first. 5. **Check.** Run `python3 scripts/check_card.py <file>`. Fix every FAIL, re-run, stop after two repair rounds and report remaining failures honestly. 6. **Export.** Follow `references/export.md` for the PNG and where to upload it (GitHub Settings → Social preview). If the user wants the card to update itself, point them to the bundled GitHub Action.
## Hard rules (all moods)
- Canvas exactly 1280x640. Margins 88px (blueprint: 96px). - Follow the mood reference's numbers exactly. When you invent a coordinate the reference does not give, snap it to a 4px grid. - ONE accent color per card, used only in the places the mood reference names. Default: the repo's primary-language color, darkened until it passes 4.5:1 contrast against the background (`check_card.py` verifies). No primary language (docs repos): use a brand color the user names, or slate `#46627F` in one-shot runs. For brand colors read `references/brand-accent.md`. - Fonts only from Google Fonts: Fraunces, IBM Plex Mono, Noto Sans KR/JP/SC. Real fallback stacks always. - Title size by name length: <=9 chars 132px, <=14 108px, <=20 92px, <=26 74px, longer 64px and allow two lines broken at a hyphen. - Description: max 2 lines. No mid-word hyphen breaks. Wrap compound words in `white-space:nowrap` spans. - Star counts are OFF by default. They go stale and embarrass small repos. Only include when the user explicitly asks; then format with thousands separators. - Meta row fallback: show what exists (language, license). If both are missing, the single item is the repo URL without protocol. - Owner avatar is optional. If used, inline it as a base64 data URI (`references/avatar.md`) so the file stays self-contained. - Never: box-shadow, drop-shadow, glassmorphism, gradients (except the blueprint grid lines), emoji, more than 2 typefaces + 1 mono, dark background with neon cyan glow, centered Inter on a purple gradient.
## What this is not
- Not a screenshot beautifier, not a logo generator, not a slide tool. - Not dynamic: the card is a static file. Freshness comes from re-rendering (the bundled Action), not from live data. - If the user wants diagrams, recommend a diagram skill instead.
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 20, 2026
- Published
- Aug 20, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 74/100
- 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 repo-cover, ready for a manual X post.
repo-cover: Design a GitHub social-preview card (og:image, 1280x640) for a repository. Use when the user... 4 stars https://www.openagentskill.com/skills/sjh9714-repo-cover-repo-cover?ref=x
Optional reply with install command
Listing + install path for repo-cover: https://www.openagentskill.com/skills/sjh9714-repo-cover-repo-cover?ref=x Install: npx skills add sjh9714/repo-cover --skill repo-cover
Listing source
Community submitted
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- sjh9714
- Source
- sjh9714/repo-cover
- 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 submitted listing is attributed to sjh9714 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/sjh9714-repo-cover-repo-cover)
[](https://www.openagentskill.com/skills/sjh9714-repo-cover-repo-cover)
[](https://www.openagentskill.com/skills/sjh9714-repo-cover-repo-cover/audit)
[](https://www.openagentskill.com/skills/sjh9714-repo-cover-repo-cover)Author
Tags
Platform fit
Health signals
- GitHub stars
- 4
- Quality score
- 36/100
- Last GitHub push
- Aug 20, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 6
- 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
Do not auto-install
- GitHub adoption4 GitHub starsFIX
- Stars/forks activity4 stars, 0 forks; issue activity unavailable in current metadataFIX
- Recent maintenance2d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, network or browser surfaceINFO