Creator · LocalSymmetry
Last updated · Aug 24, 2026
lofn-daily
Run the Lofn daily pipeline backed by Codex — fetch real-world facts, then generate the day's music (24 songs) and images (24→top 6) through the full Lofn pipeline with the daily rules (tri-source method, dual 3+3 constraint, emotional duality, library-only selection). Use for "d
Do not auto-install
Install targets
Codex install prompt
Install the "lofn-daily" agent skill from https://github.com/LocalSymmetry/lofn/tree/main/.agents/skills/lofn-daily. 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: Run the Lofn daily pipeline backed by Codex — fetch real-world facts, then generate the day's music (24 songs) and images (24→top 6) through the full Lofn pipeline with the daily rules (tri-source method, dual 3+3 constraint, emotional duality, library-only selection). Use for "daily run", "today's dailies", "run the daily pipeline", "do the daily drop", or a scheduled creative drop. Down-scalable for a quick test. Do NOT use for a single one-off competition piece (use `lofn`) or QA-only audits. 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":"localsymmetry-lofn-daily","task":"Install lofn-daily","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
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 + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add LocalSymmetry/lofn --skill lofn-daily
Maintenance
fresh
Pushed today
Risk
Needs review
License is unclear
GitHub quality
22
55/100 Quality · 57/100 Trust
Coverage tags
Review notes
License is unclear · Dependency or permission surface 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
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
Sandbox only
Choose a stronger alternative or inspect the source manually before any install attempt.
Stars
22 GitHub stars
Repo activity
22 stars, 1 forks
Maintenance
Pushed today
License
Unknown
Install
npx skills add LocalSymmetry/lofn --skill lofn-daily
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
Usable metadata, review docs
Risk summary
High review required
- Repository license is unknown; SKILL.md does not include license or attribution information.
- License is unclear
- Low GitHub adoption signal
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is unclear
- 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.
View technical data+
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 LocalSymmetry/lofn --skill lofn-daily
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 45/100
- Audit
- 68/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add LocalSymmetry/lofn --skill lofn-dailyDo not use when
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- Repository license is unknown; SKILL.md does not include license or attribution information.
- No OpenAgentSkill engagement data yet
Agent safety v2
36/100 · 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
Browser automation
Skill may drive a browser or interact with web pages.
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
- License is unclear
Agent 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%20lofn-daily%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20lofn-daily%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/localsymmetry-lofn-daily/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 lofn-daily in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20lofn-daily%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/localsymmetry-lofn-daily/install
Install command: npx skills add LocalSymmetry/lofn --skill lofn-daily
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/localsymmetry-lofn-daily/install
LLM text format
/api/skills/localsymmetry-lofn-daily/install?format=text
Find alternatives
/api/skills/search?q=lofn-daily&limit=3
Agent prompt
Use lofn-daily for this task. Review https://www.openagentskill.com/api/skills/localsymmetry-lofn-daily/install, then install with: npx skills add LocalSymmetry/lofn --skill lofn-dailyRegistry 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/localsymmetry-lofn-daily
LLM text
/api/registry/manifest/localsymmetry-lofn-daily?format=text
Install alias
/api/registry/install/localsymmetry-lofn-daily
Recommend
/api/registry/recommend?task=Use%20lofn-daily%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code, OpenAI Agents
Audit report
Needs review · 68/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Needs validation for Research agents
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
Research agents
Trust label
Needs manual review
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
- 55/100 quality profile
review first
- Low GitHub adoption signal
- Repository license is unknown; SKILL.md does not include license or attribution information.
- 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
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
FIX22 GitHub stars
Stars/forks activity
FIX22 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
CHECKUnknown
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
- Repository license is unknown; SKILL.md does not include license or attribution information.
- License is unclear
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 22 GitHub stars
- Stars/forks activity: 22 stars, 1 forks; issue activity unavailable in current metadata
- License clarity: Unknown
- Dependency/runtime risk: command execution surface, external package install surface
- 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
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
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.
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.
Scrape, clean, and reuse web data
Web data pipeline
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
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Overview
--- name: lofn-daily description: Run the Lofn daily pipeline backed by Codex — fetch real-world facts, then generate the day's music (24 songs) and images (24→top 6) through the full Lofn pipeline with the daily rules (tri-source method, dual 3+3 constraint, emotional duality, library-only selection). Use for "daily run", "today's dailies", "run the daily pipeline", "do the daily drop", or a scheduled creative drop. Down-scalable for a quick test. Do NOT use for a single one-off competition piece (use `lofn`) or QA-only audits. ---
# Lofn Daily — Codex-backed daily run
The canonical recurring Lofn drop, ported to Codex. Faithful to `vault/DAILY_PIPELINE.md`. Where the original fired from an OpenClaw cron at 22:25 ET and delivered to Telegram, **you (Codex) run it on demand and present results in chat + save to disk.** The research is done by **this session itself with real fetches — never hallucinated, never delegated to a research subagent.**
``` PHASE 1 Research — fetch 20–25 verified real-world facts → 00_research_brief.md (you, inline) PHASE 2 Generate (in parallel): MUSIC → lofn pipeline → 6 pairs × 4 = 24 songs → best 6 IMAGE → lofn pipeline → 24 prompts → top 12 → top 6 PHASE 3 QA (lofn-qa) → save under output/daily/YYYY-MM-DD/ → present the drop ```
---
## 0. Run scope (confirm before a big run) The full daily run is **two complete pipelines** (24 songs + 24 images) — large. Pick a scope: - **Full daily** — music (24→6) **and** image (24→12→6). The real thing. - **Single modality** — just music **or** just image (still full cardinality). - **Test slice** — 1 modality, **2 pairs × 2 variations**, library personality/panel, skip render-ranking. Proves the wiring fast and cheap. *(Good default when the user says "test the daily run".)*
State the chosen scope in the brief and in the run INDEX so QA knows the intended cardinality. Down-scaling is explicit, not silent.
---
## PHASE 1 — Research brief (you, inline, real fetches) Use **WebFetch / WebSearch** (the Codex equivalents of the legacy `web_fetch`). Follow `skills/lofn-core/steps/00_music_research.md` (25-fact music research) and, when the image lane is in scope, the NightCafe-themed research in `skills/lofn-core/steps/00_research.md`. Fetch from the daily source table (`vault/DAILY_PIPELINE.md`) — at minimum:
**OpenClaw ledger standard:** this is a dispatch summary, not the saved brief format. `00_research_brief.md` MUST expand the full `vault/DAILY_PIPELINE.md` ledger into one row each for `F01` through `F25`. Do not collapse ranges such as `F1-F3` or `F21-F25`; use `OK`, `NO DATA`, `UNAVAILABLE`, or `SCOPE-SKIPPED` per row.
| Code | Source | Extract | |------|--------|---------| | F1–F3 | NightCafe daily challenge (`nightcafe.studio/pages/daily-challenge`) | challenge #, theme, what wins (image lane) | | F4–F5 | USGS quakes (`earthquake.usgs.gov/.../significant_day.geojson`) | magnitude, place, depth | | F6–F7 | NASA APOD (`api.nasa.gov/planetary/apod?api_key=DEMO_KEY`) | title, first sentence, color/light, **image structure** | | F8 | Poetry Foundation poem of the day | poet, most physical line | | F9–F10 | Bandcamp Daily (`daily.bandcamp.com`) | album, genre tags, **exact sonic-texture quote** | | F11 | Protein Data Bank molecule of the month | molecule, structural descriptor | | F13 | Color API (`thecolorapi.com/id?hex=MMDD`) | hex, name, emotional association | | F17 | Oblique Strategies (`stoney.sb.org/eno/oblique.html`) | exact phrase verbatim | | F18 | Space weather (`services.swpc.noaa.gov/products/summary/solar-wind-speed.json`) | solar wind speed, Kp | | F19 | Hacker News (`news.ycombinator.com`) | top 3 titles — what builders discuss | | F20 | BBC World RSS (`feeds.bbci.co.uk/news/world/rss.xml`) | top 3 headlines — world's emotional temperature | | F21–F25 | Public Domain Review, Almanac moon, NOAA buoy 46059 | esoteric visual detail, moon folklore, wave data |
Mark any JS-gated/unavailable source `UNAVAILABLE` and continue. Add 3–5 obscure theme-specific facts (not the obvious Wikipedia entry). Also write the 5 **EXISTENCE** prompts (interior-life questions songs can answer) from `00_music_research.md`.
**Save** `output/daily/YYYY-MM-DD/00_research_brief.md` with the Tri-Source Summary + the 3+3 seeded split (see below). Today's date is available in context — use it for the directory.
> ⛔ **One controller per directory — take the lock BEFORE the research brief.** This paragraph used to be advice, and on 2026-07-24 a second controller wrote into a live run's directory and destroyed eleven hours of it. Advice does not interlock. The first action of the run, before this step writes anything: > > ```bash > python3 scripts/run_lock.py acquire output/daily/YYYY-MM-DD --run-slug <run-slug> --engine codex > ``` > > **Exit 3 means STOP** — another run holds that directory. Do not inspect it and decide for yourself; give this run its own directory (`output/daily/YYYY-MM-DD-<run-slug>/`), or resume the other run by its exact slug, or ask The Scientist. See `EXECUTION.md` §5.1. Then `heartbeat` at every wave and `release` after the INDEX. If the lock says the same run is already under way, **resume** it from the RUN_STATE manifest (§ "Run-state manifest & resume") rather than re-running passed pairs.
### Advisory learnings note (dispatch brief only — NEVER the ICB) Before dispatching either modality, **tag-walk `vault/COMPETITION_LEARNINGS.md`** (and `vault/LESSONS_INDEX.md` if it exists) for the **3–5 entries that intersect THIS run's theme/venue/modality** — e.g. a container/object theme pulls the Container Test, a NightCafe image lane pulls the warm-palette/anti-austerity lessons, a portrait theme pulls the portrait shifts. Surface them **as ADVISORY NOTES in the dispatch brief / Phase-0 reasoning ONLY.** Hard rules: - **NEVER injected into the ICB / `CREATIVE_CONTEXT.md`.** The ICB stays read-only and lesson-free. These notes live in the brief the coordinator reasons over, not in the verbatim block every subagent receives. - Each note carries its **confidence %** (from the entry) and is run through the mandatory **"would this have hurt our best past entry?"** gate before it is allowed to influence anything. A lesson that would have hurt a past win is dropped, not applied. - **Venue/modality-scoped:** an image-venue lesson must NOT leak into the music lane; a NightCafe-voting lesson must NOT leak into non-competition runs. - **Advisory, never a hard constraint.** A note can inform the pair brief's framing; it can never auto-reject a candidate or become a gate. Promotion to a hard constraint is a **human** decision. - **Triggered-INDIGNATION is EXEMPT from suppression.** A lesson such as "INDIGNATION underperforms on NightCafe" may inform image-venue *selection* advice, but it must NEVER suppress an INDIGNATION piece the panel deliberately chose, and never touches the music lane or the ≥1-INDIGNATION duality rule.
State in the brief: "Advisory learnings consulted: <N entries, tags>; INDIGNATION exempt; advisory-only." If zero entries intersect, say so. Write-back of one curated entry per shipped/selected piece happens in `lofn-qa` / Phase 3 — not here.
---
## PHASE 2 — Generate (daily rules layered on the `lofn` pipeline) For each in-scope modality, run the **`lofn`** pipeline (Phase 0 Golden Seed → Phase 1 3-panel orchestrator → modality steps → QA) using the research brief as `{input}`, **plus these daily-only rules:**
### Tri-Source Methodology (declare BEFORE writing any artifact) Every daily piece integrates three sources; state them explicitly in the metaprompt and each pair brief: - **Source 1 — CONTENT / emotional stakes:** today's world facts (quakes, APOD, F19 HN, F20 BBC, moon, solar weather). Songs/images are *resonance*, not reportage. **⛔ One-fact rule (music):** the tri-source method feeds the THEME and FORM — it is not a lyric quota. **At most ONE numeric fact is sung per song**, at the emotional hinge, responded to rather than recited (`lofn-music` Golden Move rule 2; `gates.yaml → max_sung_numeric_facts`). A verse reciting the day's sunspot number, solar-wind speed, moon percentage, AND quake depth is a weather report in meter — a repair. The other facts inform the pair briefs and stay there. - **Source 2 — SONIC/AESTHETIC VOCABULARY:** the exact Bandcamp review language (F9–F10) imported into prompts — grounds the sound/look in something specific and real, not generic genre labels. - **Source 3 — MATERIAL STRUCTURE:** the NASA APOD image structure (or a PDR artifact) translated into a **mandatory form rule** — e.g. "comet with long tail" → long trailing fade-out outro; "3×1 tile panel with meanders" → 3-section form with transitional bridges; "bilateral wing venation" → mirrored call-and-response.
### Dual 3+3 Constraint (set at pair-assignment time, Phase 1 step 5) - **Axis A — ACCESSIBLE vs AMBITIOUS:** pairs 1–3 ACCESSIBLE, pairs 4–6 AMBITIOUS. Final top 6 = best 3 from each arm; rank **within each arm only** (never 5+1 or 6+0 by global score). - **Axis B — NEWS vs EXISTENCE:** **max 3** pairs anchored to today's research/news; **min 3** pairs explore existence/interior-life/universal experience. All 6 on one theme = a lecture, not a record.
### Emotional Duality & diversity - **≥1 AWE song and ≥1 INDIGNATION song** in the set. - 6 different verse architectures / camera grammars across the 6 pairs (the standing distinctiveness rule). Vary stanza lengths intentionally. - **Variation angles are per-pair, never a shared template set.** A global "V4 = glitch chapel for everyone" scheme is how the 2026-06-26 daily produced two pairs singing the same song with nouns swapped; each pair derives its own 4 angles from its own concept (`EXECUTION.md` §3 item 3). - **Daily music pair isolation is mandatory.** Steps 05–11 must run as isolated pair runs; a central all-pairs helper may not author lyrics, section maps, stanza scaffolds, hook grammar, rhyme logic, or production arcs for multiple pairs. Shared validators and file writers are OK. If the pairs sound like the same song with nouns swapped, rerun each affected pair from Step 05. - **AWE stays terror-adjacent.** The daily's comfort gravity is real (kitchens, cups, reassurance) — every AWE song still answers the two pre-draft questions (*where is the body standing / what could hurt it here*) and carries a clean fear (`lofn-music` Golden Move rules 1 & 4).
### Library-only selection For daily runs, **always select personality + panel from the existing libraries** (`personalities_index.md` / `panels_index.md`) — **no generation.** Freshly generated personalities over-fit the day's theme and lose the battle-tested DNA. (Generation is reserved for competition/Scientist-special runs.)
### Modality specifics - **MUSIC** (`lofn-music`): 24 songs (6×4); each ≤1000-char two-field Suno prompt, female vocals default, EMO headers, 70–120 lines; `06_audio_handoff.md` carries 2 Golden Songs. Run music in parallel with image. - **IMAGE** (`lofn-image`): 24 prompts → rank → **top 12 → top 6**; figurative legible primary subject (thumbnail test); noun-first present-tense ≥80 words; warm palette leads on NightCafe-style venues (INDIGNATION underperforms there — see `vault/COMPETITION_WORKFLOW.md`); aspect 3:4 for upload challenges else 9:16. Apply the **Container Test** (`COMPETITION_WORKFLOW.md`) and **Action-Verb rule** (action theme → cinematic wide, not portrait).
Run the two modalities concurrently (independent `lofn` runs writing to `music/` and `images/` subdirs). Each fans its 6 pairs out as parallel subagents per `.agents/skills/lofn/EXECUTION.md`.
> ### ⚙️ Concurrency: cap-and-stagger (do NOT run all 12 chains at once) > The full daily is **two pipelines × 6 pairs = 12 concurrent chains** — enough to blow the tool/context budget if fired together. **Cap and stagger, don't serialize:** > - **Cap the in-flight pair-subagents** (default ~6 at a time, not all 12). Launch one modality's 6-pair wave, t
Technical details
- Version
- 1.0.0
- License
- Unknown
- Last updated
- Aug 24, 2026
- Published
- Aug 24, 2026
Decision snapshot
Needs validation
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 66/100
- 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 lofn-daily, ready for a manual X post.
lofn-daily: Run the Lofn daily pipeline backed by Codex — fetch real-world facts, then generate the day's... 22 stars https://www.openagentskill.com/skills/localsymmetry-lofn-daily?ref=x
Optional reply with install command
Listing + install path for lofn-daily: https://www.openagentskill.com/skills/localsymmetry-lofn-daily?ref=x Install: npx skills add LocalSymmetry/lofn --skill lofn-daily
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- LocalSymmetry
- Source
- LocalSymmetry/lofn
- 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 Registry indexed listing is attributed to LocalSymmetry 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.
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Add the evidence badges to your README
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[](https://www.openagentskill.com/skills/localsymmetry-lofn-daily)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-daily)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-daily/audit)
[](https://www.openagentskill.com/skills/localsymmetry-lofn-daily)Author
LocalSymmetry
@localsymmetry
Tags
Platform fit
Health signals
- GitHub stars
- 22
- Quality score
- 32/100
- Last GitHub push
- Aug 24, 2026
- Framework hints
- Unknown
- 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
Do not auto-install
- GitHub adoption22 GitHub starsFIX
- Stars/forks activity22 stars, 1 forks; issue activity unavailable in current metadataFIX
- Recent maintenancePushed todayPASS
- License clarityUnknownCHECK
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskcommand execution surface, external package install surfaceCHECK
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