Agent Skills Standard
Sync on-demand engineering standards and SDLC workflows across AI coding environments.
Per-dimension scores and reasoning
The evidence shows project-scoped MCP configuration by default, explicit selection of user scope with confirmation before each home-directory write, restricted CI permissions, hash verification for the secret-scanner download, blocking dependency review, secret scanning, skill lock verification, sensitive-path protection, and uninstall commands. These concrete controls justify full marks for least_privilege, user_confirmation, sensitive_data_handling, dependency_security, and external_effects. data_flow_transparency is reduced because downloads, disk writes, MCP configuration, and telemetry are described only at a high level; endpoints, telemetry fields, and retention are not fully enumerated. rollback is reduced because MCP and hooks can be uninstalled, but atomic recovery from a failed sync and configuration restoration are not documented. source_attribution is reduced because the license, author, and some inspirations are identified, but the supplied material cannot trace the sources of all 280 skills, and publisher identity remains unknown.
The README, package version, and tests are consistent about routing, composite triggers, eval verification, and error paths. Tests explicitly cover missing metadata, invalid YAML, oversized files, unknown eval runs, and absent reports, supporting full marks for self_consistency and failure_messages. dependency_availability is reduced because Node 20, pnpm, frozen installs, optional MCPs, and local-evidence fallbacks are documented, but no lockfile or offline-install evidence is supplied, while npx and external registries remain availability dependencies.
The material addresses engineers, product owners, numerous language stacks, and several agent runtimes, with exclusions, custom overrides, local skills, workflow selection, and multiple MCP scopes. It clearly separates CLI distribution from MCP runtime behavior and states that external task systems are optional. Trigger precision is supported by tests for file routing, keywords, exclusions, broad-glob demotion, ranking, word boundaries, and composite expansion; environment guidance includes PATH troubleshooting. All four criteria therefore receive full marks. These marks reflect thorough static design evidence, not executed confirmation across every advertised runtime.
The README has clear sections for quick start, architecture, configuration, workflows, trigger resolution, and CLI/MCP layering. Installation commands, scope choices, manual configuration, and PATH troubleshooting are substantial; naming is stable across the README, package, and tests; and the MIT license is complete. examples_and_faq is reduced because examples are extensive but there is no actual FAQ or broad troubleshooting index. known_limitations is reduced because missed loading without MCP and sandbox recommendations are acknowledged, but no centralized, comprehensive limitations section exists. versioning_changelog is reduced because releases and a changelog path are identified, but CHANGELOG contents are absent from the supplied evidence. maintenance_responsibility receives only partial credit because authorship and repository ownership are visible without a maintenance policy, support route, response commitment, or succession model.
The outputs are directly usable: native agent assets, routers, skill files, audit records, and named SDLC artifacts are described, with an end-to-end NestJS walkthrough, supporting full output_usability. marginal_value is reduced because the tests support matching and eval-integrity machinery but do not expose the actual skill corpus or enough realistic task outcomes to establish broad improvements. cost_benefit is reduced because selective loading and approximately 500-token skills present a plausible economy and setup costs are explained, but the 85% saving, average token counts, and overall benefit remain README claims whose referenced benchmark materials were not supplied.
Package scripts, CI gates, and unit tests provide traceable support for routing, security scanning, eval recomputation, and failure handling, and core mechanics are corroborated across several supplied files. claim_traceability and cross_source_corroboration are reduced because claims about 280 skills, instant cross-runtime compatibility, universal automated evaluation, and 85% token savings require the omitted skills corpus, benchmark report, public proof, lockfile, and broader implementation. fact_inference_separation is reduced because architectural facts and recommendations are usually distinguishable, but some comparison tables and effectiveness statements use categorical promotional language without nearby qualification of evidence scope or uncertainty.
- This assessment uses only the supplied static files; the CLI, MCP server, tests, dependency audits, and agent-runtime integrations were not executed.
- Before enabling user scope or enforcing hooks, inspect the actual write targets, configuration merge behavior, protected-path rules, and artifacts left after uninstall.
- Do not accept the claims of 280 skills, 85% token savings, universal automated evaluation, or broad runtime compatibility solely from the README; verify the omitted skill bodies, benchmark report, public proof, lockfile, and changelog.
- The dependency-review workflow grants pull-requests: write to publish summaries. Although its purpose is documented, deployments should confirm that this permission is necessary and constrained by branch protection.
What does this agent do, and when should you use it?
Agent Skills Standard is a portable standards registry and distribution tool for AI coding assistants, with the supplied material listing 280 skills across more than 20 languages, frameworks, and engineering domains. Its CLI uses `init` to detect a project's stack and create `.skillsrc`, while `sync` downloads selected skills and generates a compact `AGENTS.md` router plus category-level `_INDEX.md` files. During development, the coding assistant follows file and keyword triggers to load only the relevant `SKILL.md` content. The repository also provides an optional MCP server, advisory or enforcing pre-edit hooks, lockfile verification, session auditing, and SDLC workflows spanning planning, implementation, review, security testing, and verification. Generated assets remain in the project or the selected assistant's native directories, so teams continue working in environments such as Cursor, Claude Code, Codex, Copilot, Gemini, Windsurf, Trae, Kiro, and Roo rather than adopting a new daily agent runtime.
The flow starts with npx agent-skills-standard@latest init, which detects the stack, asks which assistants and optional MCP scope to configure, and creates .skillsrc. Running npx agent-skills-standard@latest sync retrieves Markdown and JSON skills from the public registry, checks each downloaded file against its Git blob SHA and a 1 MiB size limit, writes native skills, commands, or workflow assets, and generates AGENTS.md, category _INDEX.md files, and .skills-lock.json. Assistants resolve skills hierarchically from file patterns and task keywords; with MCP enabled, they can call load_skills_for_files before an edit to receive direct and composite matches, then call audit_session_compliance to record what informed the session. ags verify checks installed files against the lockfile, ags audit prints the inventory, and ags hooks install registers an advisory PreToolUse reminder. For Claude, ags hooks install --enforce can additionally block edits to a fixed list of identity and secret-related paths. Synced SDLC workflows can produce artifacts including product-brief.md, PRDs, ADRs, walkthrough.md, security reports, and review handoff documents.
- A team maintaining TypeScript, React, Next.js, NestJS, or Angular services wants every developer's coding assistant to follow the same versioned conventions.
- An organization using Cursor, Claude Code, Codex, Copilot, or Gemini needs one standards source rendered into each environment's native files.
- A platform team overseeing a large polyglot repository wants rules loaded by file and keyword instead of injecting a full architecture prompt into every conversation.
- A product engineering group wants reusable workflows that move from brainstorming and planning through design, implementation, review, and verification.
- Maintainers of a security-sensitive codebase want content locks, verification commands, SkillSpector scanning, dependency review, and optional enforcing hooks.
- A team with internal conventions wants to preserve local changes through
custom_overridesand index its own Markdown rules throughcustom_skills.
What are this agent's strengths and limitations?
- Its
AGENTS.md→_INDEX.md→SKILL.mdhierarchy loads standards on demand instead of placing the entire rule set in every prompt; the repository reports roughly 500 tokens per skill on average. - One registry produces native assets for numerous coding environments, including Cursor, Claude Code, Codex, Copilot, Gemini, Windsurf, Trae, Kiro, and Roo.
- The package covers both language and framework conventions and a broader SDLC workflow spine for planning, design, implementation, review, verification, and security testing.
- Concrete governance controls include
.skills-lock.json,ags verify, CI-based SkillSpector scans, dependency review, permission declarations, and revocation checks. - Package exclusions, protected local overrides, and custom Markdown skill indexing allow incremental adoption rather than requiring an all-or-nothing ruleset.
- Synchronization requires a shell, Node.js/npx, network access, and permission to write project files; it is not a zero-install hosted service.
- Teams wanting reliable runtime loading receipts must also configure the separate
agent-skills-standard-mcp; with CLI-only use, assistants may still skip matchedSKILL.mdfiles. - User-scoped MCP installation can modify home-directory configuration such as
~/.cursor/mcp.jsonand~/.gemini/settings.json, although the documented flow asks before each write. - Blocking PreToolUse behavior is specifically documented for Claude, so enforcement parity across the other supported environments is not established.
- Three security-guidance skills are excluded from automated SkillSpector verification because their educational content legitimately triggers the scanner.
- The supplied material contains changing metrics: the current overview says 280 skills while an FAQ still mentions 237+, and archived savings figures range from 46% to 86%, so benefits should be evaluated against the exact release adopted.
How do you install or deploy this agent?
You need a Node.js environment capable of running npx, shell access, permission to write project files, and network access for the initial npm package and public registry downloads. From the target project, run:
npx agent-skills-standard@latest init
npx agent-skills-standard@latest syncinit detects the stack and creates .skillsrc; sync writes the selected skills and workflows into the target assistants' native locations. If ags -V remains stale after reinstalling, the supplied guidance says to place ~/Library/pnpm before ~/Library/pnpm/bin in PATH, run hash -r, and check ags -V again. MCP is not required for the basic synchronization path.
How do you use this agent?
Configure .skillsrc with the registry, target agents, skill categories and refs, exclusions, custom_overrides, custom_skills, and desired workflows, then rerun npx agent-skills-standard@latest sync when selections or versions change. Work normally in the chosen coding assistant: the generated AGENTS.md routes matching files to a category _INDEX.md, which identifies the relevant SKILL.md files. For runtime enforcement, use ags mcp scope project followed by ags mcp install; the assistant can then call load_skills_for_files before writing and audit_session_compliance before claiming completion. Check integration state with ags mcp status, detect drift with ags verify, and inspect the inventory with ags audit. Use ags hooks install for an advisory pre-edit reminder, and reserve ags hooks install --enforce for cases where Claude should block changes to the documented protected-path list.
How does this agent compare with similar options?
Compared with a monolithic .cursorrules file or system prompt, Agent Skills Standard separates conventions into versioned skills and loads them through file and keyword triggers; it can also render the same source into several assistants' native formats. Compared with introducing a new agent runtime, it limits itself to setup, synchronization, validation, workflow distribution, and an optional MCP runtime layer while daily work remains in the existing coding assistant. The CLI and MCP are complementary rather than substitutes: the CLI distributes rules to disk, while MCP explicitly serves matched skills during a live session and records an audit trail.
FAQ
Is MCP required?
load_skills_for_files calls, compliance auditing, and a stronger safeguard against assistants forgetting to load matched skills.Will synchronization overwrite locally customized rules?
custom_overrides in .skillsrc are skipped during synchronization. Teams can also add standalone Markdown rules through custom_skills so they appear in the generated indexes.Does setup touch the user's home directory?
project MCP scope does not touch $HOME. Home-level runtime configurations are handled only when user scope is explicitly selected, and the documented behavior asks for confirmation before each user-scope write.Can skills execute code or upload project data?
ags feedback.How can a team detect tampered or partially written skill files?
sync writes .skills-lock.json with a SHA-256 value per installed file. Running ags verify compares the installed content with that lockfile and reports drift.