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 skills add SELAT-AI/selat-plugins --skill selat-discoverygit clone --depth 1 https://github.com/SELAT-AI/selat-pluginsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/selat-ai/selat-plugins/selat-discovery)<a href="https://agentmods.dev/skills/selat-ai/selat-plugins/selat-discovery"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-plugins/selat-discovery/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/selat-ai/selat-plugins/selat-discovery"><img src="https://agentmods.dev/badge/skills/selat-ai/selat-plugins/selat-discovery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00203 | $0.05131 |
| Opus 5.5 | $0.00081 | $0.02052 |
| Sonnet 5.5 | $0.00041 | $0.01026 |
| Haiku 4.5 | $0.00020 | $0.00513 |
Grade A, and why
selat-discovery scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://api.apify.com/v2/store?search=instagram&limit=5" How it starts
The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SELAT — discover, then pay (self-custody)
This is a concise DRIVER written for the plugin. The published @selat-ai/selat-discovery SKILL.md (bundled inside @selat-ai/selat-cli) remains the source of truth for exact subcommand flags, output shapes, and any commands added after the pinned CLI version. Where they conflict, the published skill wins. The command surface below was verified against @selat-ai/[email protected] and @selat-ai/[email protected].
SELAT is a capability layer for AI agents. It does two things a flat capability index doesn't: it checks vetted skills first, and it pays from the user's own wallet — SELAT never sees a private key or holds the user's funds.
The runner: how to invoke selat
All SELAT actions go through the selat runner (the published @selat-ai/selat-cli,
which bundles the discovery skill and the selat-pay engine). Resolve it in this order:
- Plain
selat— the SessionStart hook puts it on PATH (immediately on hosts that persist hook env; in new shells elsewhere). - If bare
selatdoesn't resolve, use the$SELAT_RUNNERenv var (an absolute path to the shim), where the host exports it. - If neither resolves, SELAT isn't available in this environment — tell the user rather than improvising. Do not hand-roll x402 requests or paste private keys.
Run only selat. @selat-ai/selat-pay (the pay engine) and
@selat-ai/selat-discovery (the ranker and its rank.mjs scripts) are dependencies
inside selat, never commands you run: the plugin runtime does not put them on PATH, and
selat-pay's own flags (--chain) bypass the runner's chain resolution. Discovery goes
through selat search, every spend through selat run or selat skill run. If any
output shows a selat-pay … or rank.mjs … command (a --dry-run plan, a hint, an
error), treat it as a description of what selat will do, never as something to execute.
Verify with selat doctor (read-only diagnostics: skill, PATH, Circle auth, Agent
Wallet, config).
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.
- 11d ago Changed · +15 lines 81751e2de90c
- 15d ago Changed · +7 lines 72f7c0c251e1
- 1mo ago Changed · +3 lines 09263140cd23
- 1mo ago Changed ef461d1ff17a
- 1mo ago First seen · 276 lines · 203 tokens per session scan A 429efd8a71a4
selat-discovery is a skill published in the GitHub repository SELAT-AI/selat-plugins (1 stars, last pushed 11d ago), licensed Apache-2.0. It adds 203 tokens to every session and 5,131 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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