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 commands/teknesyum/teknesyum-base/setupgit clone --depth 1 https://github.com/Teknesyum/Teknesyum-BaseWhat 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 | $0.00013 | $0.02283 |
| Opus 5 | $0.00006 | $0.01141 |
| Sonnet 5 | $0.00003 | $0.00457 |
| Haiku 4.5 | $0.00001 | $0.00228 |
Grade A, and why
setup 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
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 132 lines · 13 tokens per session scan A e53a61c41a39
setup is a command published in the GitHub repository Teknesyum/Teknesyum-Base (2 stars, last pushed 6d ago), licensed AGPL-3.0. It adds 13 tokens to every session and 2,283 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 2026-08-31.
Other commands, from other repositories
deepen-plan
Enhance a plan with parallel research agents for each section.
advisor
Get a second opinion from Codex (GPT-5) on your current plan, diff, or a specific question.
resolve-todos
Resolve approved TODOs in parallel using worker agents — one agent per TODO.
triage
Triage review findings one by one — present pending TODOs for user decision (approve, skip, modify).
constatar-run
Execute a constatar plan.toml and report grounded results.
constatar-audit
Audit a constatar run — conformance, health trends, cost.