Source profileQuality 73/100Review permissions

jackchuka/skills/gh-org-chart/SKILL.md

gh-org-chart

Generate an interactive HTML org explorer from a GitHub organization. Surfaces team hierarchy, members, owned repos, and CODEOWNERS path attributions. Two stages: collect.sh writes a canonical JSON, render.py emits a self-contained HTML file. The JSON is the cache (mtime ≤ 24h skips re-collection) and is hand-editable. Triggers: "org chart", "team chart", "visualize github org", "who owns this repo", "github team hierarchy", "/gh-org-chart"

Source repository stars
15
Declared platforms
0
Static risk flags
1
Last source update
2026-07-28
Source checked
2026-07-28

Decision brief

What it does—and where it fits

Produces two artifacts in ${TMPDIR:-/tmp}/gh-org-chart/:

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/jackchuka/skills --skill "gh-org-chart"
    Safe inspection promptEditorial

    Inspect the Agent Skill "gh-org-chart" from https://github.com/jackchuka/skills/blob/7b0b33f68b8f11522e43622e5cb3bacd802999d2/gh-org-chart/SKILL.md at commit 7b0b33f68b8f11522e43622e5cb3bacd802999d2. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      Phase 1: Intake

      1. Resolve org: if provided as argument, use it. Otherwise ask: Which GitHub org should I chart?

      Resolve org: if provided as argument, use it. Otherwise ask:Verify auth: run gh auth status. Confirm read:org is in the scopes line. If not, instruct:1. Resolve org: if provided as argument, use it. Otherwise ask: Which GitHub org should I chart?
    2. 02

      Phase 2: Decide collect vs. reuse

      3. Locate $OUTDIR/-org.json. 4. If --refresh was passed, or the file does not exist, or its mtime is older than 24h, run collect (Phase 3). Otherwise skip to Phase 4.

      Locate $OUTDIR/-org.json.If --refresh was passed, or the file does not exist, or its mtime is older than 24h, run collect (Phase 3). Otherwise skip to Phase 4.3. Locate $OUTDIR/-org.json. 4. If --refresh was passed, or the file does not exist, or its mtime is older than 24h, run collect (Phase 3). Otherwise skip to Phase 4.
    3. 03

      Phase 3: Collect

      5. Run the bundled collect script (handles zsh noclobber via rm -f):

      Run the bundled collect script (handles zsh noclobber via rm -f):5. Run the bundled collect script (handles zsh noclobber via rm -f):Where $FLAGS is built from --no-codeowners and --no-members if set. CODEOWNERS scanning is the long pole — expect 1 API call per owned repo. Big orgs (200+ owned repos with rate limiting): consider --no-codeowners.
    4. 04

      Phase 4: Render

      This writes -org.html next to the JSON (i.e. in $OUTDIR).

      Run the renderer:Open it (macOS):This writes -org.html next to the JSON (i.e. in $OUTDIR).
    5. 05

      Phase 5: Report

      8. Summarize (set JSON="$OUTDIR/$ORG-org.json"): - Teams: jq '.teams | length' "$JSON" - Owned repos (admin or maintain): jq '[.teams[].repos[] | select(.permission == "admin" or .permission == "maintain") | .name] | unique | length' "$JSON" - CODEOWNERS path attributions: jq '[…

      Summarize (set JSON="$OUTDIR/$ORG-org.json"):Teams: jq '.teams | length' "$JSON"Owned repos (admin or maintain): jq '[.teams[].repos[] | select(.permission == "admin" or .permission == "maintain") | .name] | unique | length' "$JSON"

    Permission review

    Static risk signals and limitations

    Runs scripts

    medium · line 49

    The documentation asks the agent to run terminal commands or scripts.

    Run the bundled collect script (handles zsh `noclobber` via `rm -f`):

    Runs scripts

    medium · line 64

    The documentation asks the agent to run terminal commands or scripts.

    python3 "${CLAUDE_SKILL_DIR:-$HOME/.claude/skills/gh-org-chart}/scripts/render.py" \

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score73/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars15SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    jackchuka/skills
    Skill path
    gh-org-chart/SKILL.md
    Commit
    7b0b33f68b8f11522e43622e5cb3bacd802999d2
    License
    MIT
    Collected
    2026-07-28
    Default branch
    main
    View the original SKILL.md

    GitHub Org Chart

    Produces two artifacts in ${TMPDIR:-/tmp}/gh-org-chart/:

    • <org>-org.json — canonical data: teams, members (with role), repos (with archived flag and permission), CODEOWNERS paths. Cache + hand-editable source of truth.
    • <org>-org.html — single self-contained interactive explorer rendered from the JSON. Opens via file://, works offline.

    Set OUT_DIR once at the start of every phase and reuse it:

    OUT_DIR="${TMPDIR:-/tmp}/gh-org-chart"
    mkdir -p "$OUT_DIR"
    

    Arguments

    • /gh-org-chart — prompt for org.
    • /gh-org-chart <org> — render-if-fresh: if <org>-org.json exists and mtime is within 24h, re-render from it. Otherwise collect, then render.
    • /gh-org-chart <org> --refresh — force re-collect.
    • /gh-org-chart <org> --no-codeowners — skip CODEOWNERS scan (faster on big orgs).
    • /gh-org-chart <org> --no-members — drop members from collection and output.

    Phase 1: Intake

    1. Resolve org: if provided as argument, use it. Otherwise ask:

      Which GitHub org should I chart?

    2. Verify auth: run gh auth status. Confirm read:org is in the scopes line. If not, instruct:

      gh auth refresh -s read:org then re-run the skill.

    Phase 2: Decide collect vs. reuse

    1. Locate $OUT_DIR/<org>-org.json.

    2. If --refresh was passed, or the file does not exist, or its mtime is older than 24h, run collect (Phase 3). Otherwise skip to Phase 4.

      Freshness check:

      JSON="$OUT_DIR/$ORG-org.json"
      if [[ "$REFRESH" == "1" ]] || [[ ! -f "$JSON" ]] || \
         [[ $(($(date +%s) - $(stat -f %m "$JSON" 2>/dev/null || stat -c %Y "$JSON"))) -gt 86400 ]]; then
        NEEDS_COLLECT=1
      fi
      

    Phase 3: Collect

    1. Run the bundled collect script (handles zsh noclobber via rm -f):

      rm -f "$OUT_DIR/$ORG-org.json"
      "${CLAUDE_SKILL_DIR:-$HOME/.claude/skills/gh-org-chart}/scripts/collect.sh" \
        "$ORG" $FLAGS > "$OUT_DIR/$ORG-org.json"
      

      Where $FLAGS is built from --no-codeowners and --no-members if set. CODEOWNERS scanning is the long pole — expect ~1 API call per owned repo. Big orgs (200+ owned repos with rate limiting): consider --no-codeowners.

    Phase 4: Render

    1. Run the renderer:

      python3 "${CLAUDE_SKILL_DIR:-$HOME/.claude/skills/gh-org-chart}/scripts/render.py" \
        "$OUT_DIR/$ORG-org.json"
      

      This writes <org>-org.html next to the JSON (i.e. in $OUT_DIR).

    2. Open it (macOS):

      open "$OUT_DIR/$ORG-org.html"
      

      Other platforms: report the path so the user can open it themselves.

    Phase 5: Report

    1. Summarize (set JSON="$OUT_DIR/$ORG-org.json"):
      • Teams: jq '.teams | length' "$JSON"
      • Owned repos (admin or maintain): jq '[.teams[].repos[] | select(.permission == "admin" or .permission == "maintain") | .name] | unique | length' "$JSON"
      • CODEOWNERS path attributions: jq '[.teams[].repos[].codeowner_paths // [] | length] | add // 0' "$JSON"
      • Member entries: jq '[.teams[].members[]] | length' "$JSON" (omit if --no-members).
      • Whether the JSON was freshly collected or reused from cache.

    Notes

    • Hand-editing the JSON: edits survive across /gh-org-chart <org> runs because the freshness check reuses the file. Use --refresh when you want collection to overwrite your edits.
    • CODEOWNERS attribution: only @<org>/<team-slug> owners produce attributions. Individual user owners (@alice) and external orgs (@other-org/team-x) are intentionally ignored — this is a team-ownership view.
    • No reporting lines: GitHub teams reflect permission grouping, not management hierarchy. Manager → report relationships need a different data source (HRIS).
    • Performance: CODEOWNERS scan is restricted to owned repos (permission ≥ maintain) to keep API calls bounded. Collecting roles adds one ?role=maintainer call per team.
    • Data shape (for hand-editing / jq): members is [{login, role}] where role is "maintainer" or "member"; each repo carries permission and an archived flag. --no-members leaves members empty.

    Alternatives

    Compare before choosing

    Computed 10042,015

    coreyhaines31/marketingskills

    ab-testing

    When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program

    Computed 10042,015

    coreyhaines31/marketingskills

    churn-prevention

    When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers o

    Computed 997

    event4u-app/agent-config

    design-review

    Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.

    Computed 9831,966

    K-Dense-AI/scientific-agent-skills

    dask

    Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.