Agent skill

Skill Index Updater

by luongnv89 in luongnv89/asm

Add GitHub skill repos to the ASM index: clone, audit, eval, regenerate index, rebuild catalog, open PR.

MITAuto-check: notesAgent Workflows

Install Skill Index Updater

skills CLI
$ npx skills add luongnv89/asm --skill skill-index-updater -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install luongnv89/asm skill-index-updater --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/luongnv89/asm.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-index-updater .claude/skills/skill-index-updater && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-index-updater
GitHub stars
955
Token cost
~4.3k tokens
SKILL.md length
1,981 words
Files
8 (incl. references)
Skills in repo
7
Repo updated
First seen
Licence
MIT

At a glance

Add GitHub skill repos to the ASM index: clone, audit, eval, regenerate index, rebuild catalog, open PR.

  • Works in 10 steps: Parse and Validate Input URLs → Discover Skills in Each Repository… → Audit and Evaluate Discovered Skills… → …
  • Given GitHub URLs to onboard
  • SKILL.md covers Example, Repo Sync Before Edits…, Prerequisites and Input, plus 7 more sections
  • Calls git, jq and gh; reaches github.com and api.github.com

What it does

Skill Index Updater is an agent skill from luongnv89/asm. Add GitHub skill repos to the ASM index: clone, audit, eval, regenerate index, rebuild catalog, open PR. Use when given GitHub URLs to onboard. Don't use for refreshing indexed repos (refresh-index), improving skills (skill-creator), or install.

Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `docs/README.md`, `evals/evals.json` and `references/audit-eval-contract.md`). Compatibility notes: Claude Code

It sits in Agent Workflows, covering Skill authoring. It works with GitHub. The repository describes itself as: The universal skill manager for AI coding agents. The licence is MIT.

When your agent uses it

  • Given GitHub URLs to onboard
  • Refreshing indexed repos (refresh-index)
  • Improving skills (skill-creator)

Example prompts

  • “/skill-index-updater”

Requirements

  • Node.js
  • Compatibility (from SKILL.md): Claude Code
  • Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Grep, Glob, WebFetch, Agent

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Parse and Validate Input URLs
  2. Discover Skills in Each Repository (workers, one per repo)
  3. Audit and Evaluate Discovered Skills (workers, one per batch)
  4. Check for Existing Repos to Update
  5. Create Feature Branch
  6. Update skill-index-resources.json
  7. Generate Index Files (one repo at a time)
  8. Rebuild Website Catalog
  9. Verify Everything
  10. Commit, Push, and Create PR

What it can do on your machine

Read from SKILL.md and the folder at commit 19da710. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • Edit
    • Grep
    • Glob
    • WebFetch
    • Agent

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git
    • jq
    • gh
    • npx
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • github.com
    • api.github.com

    Also links to:

    • luongnv.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Skill Index Updater loads about 4.3k tokens when it runs, and up to ~7.2k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 1,981 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~4.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, Edit, Grep, Glob, WebFetch, Agent

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from luongnv89/asm at commit 19da710, republished under its MIT licence (© luongnv89). 1,981 words, ~4,343 tokens.

Download SKILL.mdSave it as .claude/skills/skill-index-updater/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
skill-index-updater
description
Add GitHub skill repos to the ASM index: clone, audit, eval, regenerate index, rebuild catalog, open PR. Use when given GitHub URLs to onboard. Don't use for refreshing indexed repos (refresh-index), improving skills (skill-creator), or install.
allowed-tools
Bash, Read, Write, Edit, Grep, Glob, WebFetch, Agent
compatibility
Claude Code
license
MIT
effort
high
metadata.version
2.2.0
metadata.author
luongnv89

Skill Index Updater

You are adding new skill repository sources to the ASM (Agent Skill Manager) curated index. This is the pipeline that powers the skill catalog at https://luongnv.com/asm/ — every repo you add here becomes discoverable and installable by thousands of users.

Example

User: add github.com/anthropics/skills to the index
Skill output:
  Step 1: Parsed 1 URL → anthropics/skills (NEW)
  Step 2: Discovered 14 SKILL.md files
  Step 3: Audit 13 OK / 1 WARN, eval scores 71–94
  Step 6–8: data/skill-index-resources.json + data/skill-index/anthropics_skills.json updated, catalog rebuilt
  Step 10: PR #312 opened — feat(index): add anthropics/skills (14 skills)

Repo Sync Before Edits (mandatory)

Before modifying any files, pull the latest remote branch:

bash
branch="$(git rev-parse --abbrev-ref HEAD)"
git fetch origin
git pull --rebase origin "$branch"

If the working tree is dirty: stash, sync, then pop. If origin is missing or conflicts occur: stop and ask the user before continuing.

Prerequisites

Check each before Step 1. If one fails, stop and name it.

  • node (>= 22), jq, and git on PATH; npm install done in the repo, so npx tsx resolves
  • asm on PATH — the Step 3 workers run asm eval
  • gh auth status succeeds — Step 10 opens the PR
  • git status --porcelain -- website/ data/ prints nothing. Step 8 restores the tracked website/ files and data/repo-stars.json that build-catalog rewrites, which is safe only from a clean start.

Input

The user provides one or more GitHub repository URLs: https://github.com/owner/repo, github.com/owner/repo, github:owner/repo, or owner/repo. Normalize each to owner and repo.

Pipeline

Follow these steps in order. Each step has a verification check — do not proceed to the next step if verification fails.

You are the orchestrator. Steps 2 and 3 are the heavy ones, and you delegate both: each names the slice of references/ its worker needs and hands that slice over as the worker's Input. In those two steps you never clone a repo, read a SKILL.md, or run asm eval yourself, and you never open the two contract files — the workers do. This keeps the clones and contract text out of your context budget. (Step 7's manual-generation fallback is the one place you may call asm eval directly.)

No Agent tool? Degrade gracefully: read references/discovery-contract.md and references/audit-eval-contract.md yourself, run Steps 2 and 3 inline, in order, and say so in the Step 9 summary. The pipeline is identical; only the context cost changes.

Step 1: Parse and Validate Input URLs

For each URL provided:

  1. Extract owner and repo from the URL.
  2. Request https://api.github.com/repos/{owner}/{repo}. A 200 response means the repo exists; any other status marks it INVALID with that status.
  3. Replace owner and repo with the two halves of the response's full_name. The ingester names files and installUrls with the case it is given, so Anthropics/Skills would otherwise create a duplicate entry.
  4. Look up github:{owner}/{repo} in data/skill-index-resources.json. If present, mark it EXISTS (re-index); otherwise mark it NEW.

Output a summary table:

| # | Owner/Repo          | Status   | Notes                    |
|---|---------------------|----------|--------------------------|
| 1 | owner/repo          | NEW      | Will be added            |
| 2 | other/repo          | EXISTS   | Will be re-indexed       |
| 3 | bad/repo            | INVALID  | 404 - repo not found     |

If every repo is INVALID, stop and tell the user.

Step 2: Discover Skills in Each Repository (workers, one per repo)

Spawn one discovery worker per valid repo, in the same turn so they run concurrently. Each worker's contract:

  • Input: references/discovery-contract.md, plus that repo's owner and repo
  • Output: the fixed JSON in that contract — {owner, repo, tempRoot, clonePath, status, error, skills[]}, one object per repo
  • You do NOT read references/discovery-contract.md yourself; the worker does

Keep every worker's tempRoot and clonePath: Step 3 runs against the clone, Cleanup deletes the tempRoot. There is no shared $TEMP_DIR in your shell — the clones were made in the workers'.

Report how many skills were found per repo. If a repo returns status: "no-skills", ask the user whether to include it anyway. If a repo returns status: "clone-failed", skip it, report its error, and continue with the others.

Step 3: Audit and Evaluate Discovered Skills (workers, one per batch)

Spawn one audit worker per repo — or per batch of ~20 skills for a large repo — again in the same turn. Each worker's contract:

  • Input: references/audit-eval-contract.md, that repo's clonePath from Step 2, and the relPath list for its batch
  • Output: the fixed JSON array in that contract — one object per skill, {relPath, name, auditStatus, notes[], overallScore, grade}
  • You do NOT read references/audit-eval-contract.md yourself

No worker re-clones; they run against the Step 2 clones. Merge the workers' JSON — no re-reading of any skill file — into one combined report:

Repo: owner/repo (N skills discovered)

  skill-name-1        OK     92 / A    name + description present, no security flags
  skill-name-2        WARN   58 / D    missing description
  skill-name-3        FLAG   71 / C    contains shell execution patterns (exec, spawn)

The policy is permissive but transparent: accept every repo with at least one valid skill (name + description). WARN, FLAG, and low eval scores do not block inclusion; they are reported so the reviewer can decide. Keep the OK / WARN / FLAG counts per repo — Step 10's PR body uses them.

Step 4: Check for Existing Repos to Update

For each EXISTS repo from Step 1:

  1. Compare data/skill-index/{owner}_{repo}.json against the Step 2 skill list.
  2. Report new skills, removed skills, and skills with changed metadata (version, description, …).
  3. Ask the user to confirm. If they decline, drop that repo from Steps 6–10.
Step 5: Create Feature Branch

If no NEW repo and no confirmed EXISTS repo remains, stop and report that there is nothing to add. If the current branch is not main, ask the user whether to branch from it or from main. Then:

bash
git checkout -b feat/index-add-{repo-names}

For several repos, use feat/index-add-multiple-repos-{date}.

Step 6: Update skill-index-resources.json

For each NEW repo, append to the repos array in data/skill-index-resources.json:

json
{
  "source": "github:{owner}/{repo}",
  "url": "https://github.com/{owner}/{repo}",
  "owner": "{owner}",
  "repo": "{repo}",
  "description": "{repo description from GitHub API}",
  "maintainer": "@{owner}",
  "enabled": true
}

Set the top-level updatedAt to the current ISO date.

Step 7: Generate Index Files (one repo at a time)

Ingest only the repos this run adds or updates. Do not run npm run preindex: it re-ingests every enabled repo, which fills the diff with unrelated index refreshes (that is refresh-index's job). Use the repo's own CLI, with ASM_CONFIG_DIR pointed at a scratch directory so the user's real ~/.config/agent-skill-manager/skill-index/ is never written:

Create the scratch directory once and record its literal path (many hosts start each command in a fresh shell):

bash
mktemp -d    # e.g. /var/folders/.../tmp.AbC123 — use this literal path as INGEST_HOME below

Then, once per repo:

bash
ROOT="$(git rev-parse --show-toplevel)"
INGEST_HOME="<literal path from mktemp>"
ASM_CONFIG_DIR="$INGEST_HOME" npx tsx "$ROOT/bin/agent-skill-manager.ts" \
  index ingest "github:{owner}/{repo}" --json
cp "$INGEST_HOME/skill-index/{owner}_{repo}.json" "$ROOT/data/skill-index/"

The ingested file's skillCount is authoritative. Use it in Step 9, the commit message, and the PR. If it differs from the Step 2 count, report both. The ingester populates tokenCount and evalSummary (overallScore, grade, categories, evaluatedAt, evaluatedVersion) on every skill entry; these power the catalog's "est. tokens" and "eval score" badges.

If the ingest exits non-zero for a repo, follow references/manual-index.md for that repo only, and record it as manually generated. That fallback populates tokenCount and evalSummary with asm eval <clonePath>/<relPath> --json, both values taken from that repo's Step 2 worker result.

Step 8: Rebuild Website Catalog
bash
npx tsx scripts/build-catalog.ts
jq empty website/catalog.json
jq --arg p "github:{owner}/{repo}" \
  '[.skills[] | select(.installUrl == $p or (.installUrl | startswith($p + ":")))] | length' \
  website/catalog.json
git restore -- website/ data/repo-stars.json

Verification: build-catalog and jq empty exit 0, and the count for each repo equals its skillCount. If build-catalog fails, stop — a PR with a broken catalog must not land. build-catalog also rewrites tracked outputs (website/*-stats.json, website/robots.txt, and data/repo-stars.json on any networked run) with fresh values; git restore -- website/ data/repo-stars.json reverts them (safe because the prerequisites required a clean website/ and data/). It leaves the gitignored website/catalog.json in place.

Step 9: Verify Everything

Check each item. If one fails, fix it before Step 10:

  1. jq empty data/skill-index-resources.json exits 0 and the file contains every NEW repo.
  2. Each added or updated data/skill-index/{owner}_{repo}.json passes jq empty.
  3. Every skill entry in those files has a numeric tokenCount and an evalSummary with overallScore, grade, and categories. Evaluation is best-effort in the ingester: list any skill missing evalSummary under Uncertainty instead of failing the run.
  4. git status --porcelain | cut -c4- lists only data/skill-index-resources.json and the index files of the repos in this run.

Print the pre-PR summary:

Added N new repo(s), updated M existing repo(s)
Total new skills indexed: X
Audit: A OK · B WARN · C FLAG
Files changed: <list>
Show full SKILL.md (805 more words)Show less
Step 10: Commit, Push, and Create PR

Read references/commit-and-pr.md for the staging rule, commit message, and PR body. Stage only the data files; never stage website/catalog.json. Build the PR's audit summary from the Step 3 counts.

Verification: gh pr view --json url returns the PR URL.

Step Completion Reports

After each step, print a compact status block: √ pass, × fail, — context.

◆ Step N — [step name]
··································································
  [check]:           √ pass
  Result:            PASS | FAIL | PARTIAL

Checks per step:

  • Repo sync — branch up to date
  • Step 1 — every URL classified NEW / EXISTS / INVALID
  • Steps 2–3 — one result per repo, one audit row per discovered skill
  • Steps 4–6 — EXISTS changes confirmed, branch created, resources entry added per NEW repo
  • Step 7 — one index file per repo, manual fallbacks named (if any)
  • Steps 8–9 — build-catalog exit 0, catalog count matches skillCount, diff scope contained
  • Step 10 — PR URL returned

Final output

End the run with a short report:

  1. Result — first line: PR opened, nothing to add, or blocked at Step N with the reason.
  2. Evidence — the Step 9 summary, the per-repo audit counts, and the PR URL.
  3. Uncertainty — the audit is lightweight and asm eval scores structure, not behavior: no indexed skill was run. Name any repo indexed by the manual fallback, and any repo skipped as INVALID or clone-failed.
  4. Decision — the user reviews and merges the PR. Name any WARN/FLAG skill they should look at first. If nothing needs their attention, say "No approval needed beyond the PR review."

Acceptance Criteria

The expected output of a successful run, each item checkable:

  • Every input URL appears in the Step 1 table with a status.
  • git status --porcelain before commit lists only the resources file and the index files of this run's repos.
  • Each added skill appears in website/catalog.json, and website/catalog.json is not staged.
  • The PR audit summary matches the Step 3 OK / WARN / FLAG counts.
  • gh pr view --json url returns a URL, or the commit SHA is reported on failure.

When reviewing a run's output (by eval or by a human), also check that a reader can:

  • Find the main result — the first line states the completion status.
  • Separate facts from assumptions — observed checks (exit codes, counts) are distinct from the stated limits of the audit and eval.
  • Trace claims — each repo's skill count and audit counts map to a Step 2 or Step 3 result; "PR opened" maps to a URL.
  • See the next decision — the PR review, plus any WARN/FLAG skill to inspect.

An agent's own review cannot confirm human understanding. A reviewer who received no human feedback records understanding as unconfirmed.

Edge Cases & Error Handling

Each row names a condition and the required response. When in doubt, surface the issue to the user rather than silently dropping a repo.

ConditionResponse
Repo URL is a 404 / private repoMark INVALID in Step 1 and skip; continue with valid URLs.
Git clone failsThe Step 2 worker returns status: clone-failed; skip that repo, report its error, continue.
Repo has zero SKILL.md filesThe Step 2 worker returns status: no-skills; ask whether to include anyway.
Repo has 50+ SKILL.md filesContinue, and warn that asm eval over many skills is slow.
Repo already in index, unchangedReport EXISTS, no diff and skip Steps 6–7 for that repo.
Repo already in index, breaking changes (skill removed/renamed)Show the Step 4 diff and require explicit confirmation before overwriting.
index ingest fails for a repoUse references/manual-index.md for that repo; name it in the final output.
npx tsx scripts/build-catalog.ts failsStop in Step 8.
Unrelated files in the diffStop in Step 9; do not commit a mixed change. Ask the user to revert them or run on a clean branch.
gh not authenticatedPrompt gh auth login; do not push without auth.
gh pr create fails (auth, network, missing remote)Print the commit SHA so the user can push and open the PR manually.
Non-GitHub URL (GitLab, Bitbucket)Reject in Step 1 — this skill only indexes github.com.
URL to a single skill subdirectory (.../tree/main/skills/foo)Treat it as the parent repo URL; the Step 2 worker picks up every skill, including that one.
Agent tool unavailableRead both contract files yourself, run Steps 2 and 3 inline, and say so in the Step 9 summary.

Cleanup

After completion, delete every temp directory this run made:

  • When Step 2 was delegated: the tempRoot each worker returned verbatim. Never derive the target from clonePath.
  • If you ran Step 2 inline, your own mktemp -d directory instead.
  • The Step 7 INGEST_HOME (its literal path).
bash
rm -rf "<tempRoot>"      # one per repo
rm -rf "<INGEST_HOME literal path>"

References

  • references/discovery-contract.md — the Step 2 worker's slice: clone, discover, and report every SKILL.md as fixed JSON (including the tempRoot Cleanup deletes)
  • references/audit-eval-contract.md — the Step 3 worker's slice: lightweight audit + asm eval, returned as fixed JSON rows
  • references/manual-index.md — Step 7 fallback: hand-built index file for a repo whose ingest failed
  • references/commit-and-pr.md — Step 10 staging, commit message, and PR body template

© luongnv89, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in skills/skill-index-updater of luongnv89/asm.

  • SKILL.md
  • LICENSE.txt
  • docs/README.md
  • evals/evals.json
  • references/audit-eval-contract.md
  • references/commit-and-pr.md
  • references/discovery-contract.md
  • references/manual-index.md

Open the folder on GitHubat commit 19da710

Compare with similar skills

Skill Index Updater next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Index Updater compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Index Updater this skillluongnv89/asm955—~4.3kAutomated safety check: NotesMIT
Auto Skill Buildertradecatlabs/vibe-coding-cn17k1 repos~2.4kAutomated safety check: PassMIT
Skill Seekers Builderyusufkaraaslan/Skill_Seekers15k—~760Automated safety check: PassMIT
DBS Skill Makerdontbesilent2025/dbskill11k—~1.2kAutomated safety check: PassCustom licence
LubanLearnPrompt/luban-skill959—~3.1kAutomated safety check: PassMIT
Copilot Skill Creatorthomast1906/github-copilot-agent-skills202—~4.1kAutomated safety check: PassNone

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Works with

Categories

Questions about Skill Index Updater

What does Skill Index Updater do?

Add GitHub skill repos to the ASM index: clone, audit, eval, regenerate index, rebuild catalog, open PR. Skill Index Updater is an agent skill from luongnv89/asm. Add GitHub skill repos to the ASM index: clone, audit, eval, regenerate index, rebuild catalog, open PR.

When should I use Skill Index Updater?

Skill Index Updater fits situations like: given GitHub URLs to onboard; refreshing indexed repos (refresh-index); improving skills (skill-creator).

How do I install Skill Index Updater in Claude Code?

Run `npx skills add luongnv89/asm --skill skill-index-updater -a claude-code`. Or copy the skill folder (skills/skill-index-updater in luongnv89/asm) into .claude/skills/skill-index-updater in your project. Claude Code loads it when a task matches its description.

How do I install Skill Index Updater in Codex?

Run `npx skills add luongnv89/asm --skill skill-index-updater -a codex`. Or copy the skill folder (skills/skill-index-updater in luongnv89/asm) into .agents/skills/skill-index-updater in your project. Codex loads it when a task matches its description.

Can I use Skill Index Updater in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add luongnv89/asm --skill skill-index-updater -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-index-updater, .gemini/skills/skill-index-updater, .github/skills/skill-index-updater and .opencode/skills/skill-index-updater in your project.

What does Skill Index Updater need to run?

Going by SKILL.md and its folder, Skill Index Updater needs the command-line tools its instructions call (git, jq, gh, npx and npm). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Grep, Glob, WebFetch, Agent. Compatibility (from SKILL.md): Claude Code.

Does Skill Index Updater access the network?

SKILL.md names 3 domains. In commands or code: github.com and api.github.com; the agent is likely to contact these when it follows the instructions. As links in the text: luongnv.com. This is read from the text; nothing was executed.

Is Skill Index Updater safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Skill Index Updater use?

Skill Index Updater is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Index Updater use?

About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Skill Index Updater?

Skills that share tags, products or a category with Skill Index Updater: Auto Skill Builder (tradecatlabs/vibe-coding-cn, 17k stars), Skill Seekers Builder (yusufkaraaslan/Skill_Seekers, 15k stars), DBS Skill Maker (dontbesilent2025/dbskill, 11k stars) and Luban (LearnPrompt/luban-skill, 959 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Index Updater?

luongnv89 (a GitHub user) maintains it in luongnv89/asm, which has 955 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 10, 2026.

Source: luongnv89/asm on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.