Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/agentled/mcp-server/agentlednpx skills add Agentled/mcp-server --skill agentledgit clone --depth 1 https://github.com/Agentled/mcp-serverWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00050 | $0.15417 |
| Opus 5 | $0.00025 | $0.07709 |
| Sonnet 5 | $0.00010 | $0.03083 |
| Haiku 4.5 | $0.00005 | $0.01542 |
Grade A, and why
agentled scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 1,106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agentled Workflow Automation
You have access to the Agentled MCP server which lets you create, manage, and execute AI-powered workflows. Use these tools to help the user automate business processes.
External builder setup
When this session is acting as an external AI builder for Agentled work items, register or refresh the builder identity before listing, claiming, or submitting builder work. This links the current API key to a visible builder profile in Developer settings and lets business agents attribute work correctly.
- If MCP is available, call
upsert_ai_builder_profileonce per API key with the provider (codex,claude,openclaw,herms, orcustom), a clear display name, and optional metadata such as capabilities or setup state. - If only shell/CLI access is available, run:
agentled builders profile upsert --provider codex --name "Codex"
After the profile exists, use list_builder_work_items / agentled builders work-items list according to the polling cadence in the MCP tool description.
If a builder-work command returns Call upsert_ai_builder_profile..., do that
setup step and retry; do not ask the user to create the profile manually.
CLI freshness
Use the latest @agentled/cli for setup, local scaffolds, fixtures, tests, and
builder-work CLI commands. Prefer npx -y @agentled/cli@latest ... for one-off
setup commands. If using a global agentled install, run agentled --version
or any CLI command and follow the update notice when it reports a newer version.
Do not block a working MCP-only task just because the local CLI is absent or old. Only update/install the CLI when the task needs CLI-backed setup, local files, fixtures, tests, or builder-work commands.
Tool discovery and multi-workspace use
Codex does not always preload the full Agentled MCP surface. If a tool seems "missing", search for the exact tool name before assuming the MCP server does not expose it. Common examples:
get_knowledge_rowsget_knowledge_rows_by_idsquery_kg_edges
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 1,106 lines · 50 tokens per session scan A d84d416f3eec
agentled is a skill published in the GitHub repository Agentled/mcp-server (3 stars, last pushed 11d ago), licensed MIT. It adds 50 tokens to every session and 15,417 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
benchmark-methodology
Use after competitive-platform-analysis has produced a tiered competitor set. Scores each competitor across nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client's strategic tension) with explicit 1–5 rubrics and a tension-plot.…
write-like-meng-on-x
Write, rewrite, review, or continuously refine X/Twitter posts in Meng To's current voice using his deduplicated authored-post corpus, personal and product context, shared resources, and Content repo evidence. Use when asked to improve a tweet in Meng's tone, draft an original post, reply, thread, resource share, or…
youtube-thumbnail
Generate a branded YouTube thumbnail from a video title. Uses a reference photo of the creator, high-CTR thumbnail principles, and brand colours to produce a ready-to-generate image prompt for Gemini. Use this skill whenever the user says "thumbnail", "youtube thumbnail", "build me a thumbnail", or wants a video cover…
referral-program
When the user wants to design, launch, or optimize an in-app referral / invite / share-to-earn program — including reward structure, mechanics, fraud prevention, deep link setup, and viral coefficient measurement. Use when the user mentions "referral program", "invite a friend", "refer and earn", "share to earn"…
apple-search-ads
When the user wants to set up, optimize, or scale Apple Search Ads (ASA) campaigns — including keyword bidding, match types, campaign structure, Creative Product Sets, CPP routing, and ROAS optimization. Use when the user mentions "Apple Search Ads", "ASA", "Search Ads", "Search tab ads", "Today tab ads", "CPT"…
google-ads-audit
Google Ads account audit and business context setup. Run this first — it gathers business information, analyzes account health, and saves context that all other ads skills reuse. Trigger on "audit my ads", "ads audit", "set up my ads", "onboard", "account overview", "how's my account", "ads health check", "what should…