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/superinterface-labs/superpaper/plannpx skills add superinterface-labs/superpaper --skill plangit clone --depth 1 https://github.com/superinterface-labs/superpaperWhat 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 | $0.00011 | $0.00578 |
| Opus 5 | $0.00005 | $0.00289 |
| Sonnet 5 | $0.00002 | $0.00116 |
| Haiku 4.5 | $0.00001 | $0.00058 |
Grade A, and why
plan 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 65 lines · 11 tokens per session scan A db701c814248
plan is a skill published in the GitHub repository superinterface-labs/superpaper (24 stars, last pushed 6mo ago), with no licence file. It adds 11 tokens to every session and 578 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
handoff
Generate rigorous session-handoff documents — a CONTINUATION handoff (the next builder session resumes exactly where this one stopped) and/or a REVIEW handoff (an external principal-engineer audit for a ChatGPT-5.6 Sol Ultra or high-effort Fable session covering the session's milestones). Enforces the canonical…
algolia-autocomplete
Building autocomplete and search-suggestion experiences with the Algolia Autocomplete UI library — distinct from InstantSearch. Covers query suggestions, multi-source autocomplete (suggestions + recent searches + records + redirects + content), the plugin architecture (@algolia/autocomplete-plugin-), keyboard nav…
algolia-contentful-integration
The Contentful ↔ Algolia integration we ship by default on Composable DXP engagements — choosing between the Marketplace app, the Ingestion API source connector, and a custom Vercel-Function indexer; mapping Topics & Assemblies to Algolia records; per-locale fan-out; preview vs. delivery indices; webhook signature…
algolia-indexing-pipeline
Getting data into Algolia — full reindex vs. partial updates, atomic replacement via replaceAllObjects, batch sizing, idempotency, streaming pipelines (webhook-driven incremental sync), backfills, the Ingestion API for managed source connectors, and the Slalom default pattern of Vercel Functions + Contentful webhooks…
bynder-asset-model
Information architecture and Bynder asset modeling — designing metaproperty taxonomies, asset-type structures, naming conventions, and tag governance that make assets findable, governable, and integration-ready. Covers IA principles (controlled vocabularies, hierarchies, faceted navigation), modeling patterns…
bynder-contentful-pairing
The Bynder + Contentful integration playbook — the most common Slalom Composable DXP pattern. Covers the OOTB Bynder app for Contentful, when to extend it with custom Compact View embeds, the asset-reference data shape persisted in Contentful entries, derivative selection at the CMS field level, webhook-driven cache…