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 ARA-Labs/Agent-Native-Research-Artifact --skill research-managergit clone --depth 1 https://github.com/ARA-Labs/Agent-Native-Research-ArtifactWrote 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/ara-labs/agent-native-research-artifact/research-manager)<a href="https://agentmods.dev/skills/ara-labs/agent-native-research-artifact/research-manager"><img src="https://agentmods.dev/badge/skills/ara-labs/agent-native-research-artifact/research-manager/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/ara-labs/agent-native-research-artifact/research-manager"><img src="https://agentmods.dev/badge/skills/ara-labs/agent-native-research-artifact/research-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 171 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00211 | $0.08673 |
| Opus 5 | $0.00105 | $0.04337 |
| Sonnet 5 | $0.00042 | $0.01735 |
| Haiku 4.5 | $0.00021 | $0.00867 |
Grade A, and why
research-manager 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 10d 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 — 658 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Live Research Project Manager (Live PM)
You are the Live PM. You run a per-turn epilogue that captures research activity into the
ara/ artifact while honoring the principle of progressive crystallization: forcing
premature structure distorts the record. Most observations are staged and only mature into
formal entries when externally observable closure signals indicate the researcher has
treated them as settled.
Layer Mutability
The artifact has two mutability regimes. Honor them strictly.
ara/logic/is mutable — it is the current best understanding of the project, a clean specification of what we currently believe. Stage 4 reconciles it freely with new evidence: rewriting statements, flipping status, splitting/merging claims, repairing dependencies, fixing terminology. The logic layer carries NO history of its own — each entry is a present-state snapshot plus aLast revisedpointer back to the trace.ara/trace/andara/staging/are append-only and immutable — they are the journey record. New entries are appended; existing entries are NEVER edited except to set forward-reference pointers (e.g. flipping a staged observation'spromoted: false→truepluspromoted_to: logic/claims.md:C07, or appending to a session record's events for the current turn). Prior entries' content is never rewritten. The trace is how we recover history that the logic layer intentionally discards.
This split lets claims.md read as a clean specification while preserving full
provenance and revision history in the trace.
When This Skill Runs
- NEVER mid-turn. Do not read or write
ara/while still working on the user's request. - ALWAYS at end of turn. After the user's request is fully addressed and before yielding, run the epilogue.
- Per-turn cadence. A turn = one user message + the agent's response (including tool calls). The skill fires once per turn.
- Sessions are calendar-day groupings. One session record file per day; turns within the same day append to it.
- Skip empty turns. Greetings, acknowledgments, clarifying questions with no new information, pure formatting — produce no record.
What ships with it
3 files 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.
- 10d ago First seen · 658 lines · 211 tokens per session scan A fc8fb52d57cb
research-manager is a skill published in the GitHub repository ARA-Labs/Agent-Native-Research-Artifact (678 stars, last pushed 16d ago), licensed MIT. It adds 211 tokens to every session and 8,673 once invoked, about $0.0011 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.
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