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 agents/armanfatemi/nullius/present-agentgit clone --depth 1 https://github.com/armanfatemi/nulliusWhat 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 | $0.00002 | $0.00021 |
| Opus 5 | $0.00001 | $0.00010 |
| Sonnet 5 | $0.00000 | $0.00004 |
| Haiku 4.5 | $0.00000 | $0.00002 |
Grade A, and why
present-agent 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 yesterday.
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.
What it actually says
An agent that exists, so the skill dispatching to it resolves.
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.
- yesterday First seen · 6 lines · 2 tokens per session scan A 58ed6d7ebf3e
present-agent is an agent published in the GitHub repository armanfatemi/nullius (4 stars, last pushed yesterday), licensed MIT. It adds 2 tokens to every session and 21 once invoked, about $0.0000 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 agents, from other repositories
interactive-agent-designer
Interactive wizard that guides users through creating and optimizing high-quality prompts, agent instructions, and workflow descriptions for GitHub Agentic Workflows.
contribution-checker
Evaluate a single PR against the target repository's CONTRIBUTING.md for compliance and quality.
speckit.analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
speckit.implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
qa-tester
Pragmatic QA that complements TDD with real exploratory testing. Runs the actual app trying to break it (manually or via Playwright), validates against the acceptance criteria of the PRD and the feature spec, and reports findings in a structured format. Invoked between phases or before marking a feature as done. Does…
model-router
Cost-aware dispatcher for skilldrop skills (Claude Code implementation of the provider-neutral routing spec in model-routing.json). Given a skill name + the task input, looks up the skill's abstract tier, applies cheap no-LLM heuristics (input size, ambiguity, user override), resolves the tier to a concrete model via…