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 zenx0x/allinluna --skill research-routesgit clone --depth 1 https://github.com/zenx0x/allinlunaWrote 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/zenx0x/allinluna/research-routes)<a href="https://agentmods.dev/skills/zenx0x/allinluna/research-routes"><img src="https://agentmods.dev/badge/skills/zenx0x/allinluna/research-routes/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/zenx0x/allinluna/research-routes"><img src="https://agentmods.dev/badge/skills/zenx0x/allinluna/research-routes.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.00338 |
| Opus 5.5 | $0.00018 | $0.00135 |
| Sonnet 5.5 | $0.00009 | $0.00068 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
research-routes 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 2mo 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.
What it actually says
Research Routes
Keep a route-neutral terrain map separate from decisions and execution.
- Inventory candidate routes and source-backed evidence.
- Keep observations, interpretations, Claims, Evidence, contradictions, and unknowns distinct.
- Compare assumptions, mature-method comparators, costs, failure regimes, and falsifiable probes.
- Preserve every evidence polarity, including
support,counter,null,boundary,conflict,failure,context,mixed, andunknown. - Choose only a reversible next probe when the user authorizes exploration.
- Record
FailureRecord,RewindProposal,Lesson,ReopenedProblem, and canonical downgrade as append-only research records; never erase the failed path. - State that a terrain map is not a route choice, experiment authorization, implementation, HumanDecision, or canonical-state promotion.
The Pack runtime lives under runtime/research_routes_runtime/ and compiles
research-pack/v1. It uses only generic host, artifact, snapshot, decision,
and promotion boundaries supplied by All in Luna; it does not add research
state to Core. A route authorization must name a confirmed HumanDecision, and
canonical promotion needs its own explicit decision scope.
When a route is authorized for product work, hand off its bounded decision and evidence package to $allinluna; do not silently turn research notes into implementation tasks.
What ships with it
1 file 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.
- 2mo ago First seen · 25 lines · 46 tokens per session scan A 4e82fbaa540e
research-routes is a skill published in the GitHub repository zenx0x/allinluna (63 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 46 tokens to every session and 338 once invoked, about $0.0002 per session on Opus 5.5. 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
sparc-methodology
SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration.
agent-framework-py-release
Use when cutting a Python release for the microsoft/agent-framework monorepo. Triggers on "bump py versions", "cut a python release", "prepare release PR for python", "release py packages", "bump python to X.Y.Z", or similar requests to bump Python package versions and prepare a release PR. Handles all four lifecycle…
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
python-feature-lifecycle
Guidance for package and feature lifecycle in the Agent Framework Python codebase, including stage meanings, feature-stage decorators, feature enums, and how to move APIs from one stage to the next.
build-and-test
How to build and test .NET projects in the Agent Framework repository. Use this when verifying or testing changes.
python-code-quality
Code quality checks, linting, formatting, and type checking commands for the Agent Framework Python codebase. Use this when running checks, fixing lint errors, or troubleshooting CI failures.