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 flonat/flonat-research --skill init-project-orchestrationgit clone --depth 1 https://github.com/flonat/flonat-researchWrote 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/flonat/flonat-research/init-project-orchestration)<a href="https://agentmods.dev/skills/flonat/flonat-research/init-project-orchestration"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/init-project-orchestration/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/flonat/flonat-research/init-project-orchestration"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/init-project-orchestration.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 | $0.00077 | $0.01362 |
| Opus 5 | $0.00039 | $0.00681 |
| Sonnet 5 | $0.00015 | $0.00272 |
| Haiku 4.5 | $0.00008 | $0.00136 |
Grade A, and why
init-project-orchestration 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 6d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Initialize project orchestration
Create the project source once under .ai/orchestration/. Treat Claude Code
and Codex files as generated adapters, never as parallel authoring surfaces.
Resulting structure
.ai/orchestration/ # canonical, client-neutral source
├── manifest.yaml
├── agents/<role>.md
└── commands/<workflow>.md
.claude/agents/project-<role>.md # generated Claude agent
.claude/commands/project/<workflow>.md
.codex/agents/project-<role>.toml # generated Codex agent
.agents/skills/project-<workflow>/SKILL.md
.planning/roadmap.md # shared project state
.planning/state.md
Claude exposes a workflow as /project:<workflow>. Codex exposes the same
workflow as $project-<workflow>. Both adapters derive from the same neutral
command body. The namespace prevents collisions with global skills.
Phase 1: Assess
- Resolve the project root from the argument or current directory. Confirm it is the intended research project before searching elsewhere.
- Read the active client's project guidance. Read neutral project facts from
AI.md,README.md,docs/, and.context/; do not treat the sibling client's guidance file as an additional instruction set. - Read
.context/field-calibration.md, project memory, and.planning/when present. - Classify the project:
- experimental: data preparation and empirical estimation;
- computational: software, algorithms, simulations, or experiments;
- theoretical: formal models and proofs;
- mixed: select roles and workflows from more than one preset.
- Inventory existing neutral sources and generated adapters. Also inventory
legacy non-generated
.claude/agents/and.claude/commands/files.
Do not overwrite anything during assessment.
Phase 2: Confirm the design
Read the applicable preset under templates/presets/ and present:
- proposed project agents and their exact read/write boundaries;
- proposed project workflows and expected arguments;
- the initial
.planning/phases; - any legacy single-client Claude files that need reconciliation.
What ships with it
10 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.
- scripts/project-orchestration.py 19 KB runs code
- templates/agent-template.md 1.3 KB
- templates/command-template.md 1.1 KB
- templates/manifest-template.yaml 88 B
- templates/presets/computational.md 1.8 KB
- templates/presets/experimental.md 2.0 KB
- templates/presets/theoretical.md 1.3 KB
- templates/roadmap-template.md 864 B
- templates/state-template.md 1.2 KB
- templates/update-state-command.md 952 B
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.
- 6d ago First seen · 155 lines · 77 tokens per session scan A 7febc9db94b2
init-project-orchestration is a skill published in the GitHub repository flonat/flonat-research (132 stars, last pushed 14d ago), licensed MIT. It adds 77 tokens to every session and 1,362 once invoked, about $0.0004 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 2026-09-03.
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latex-compile
Compile a LaTeX document and fix every error plus aesthetic issue (overfull/underfull boxes, widows, alignment, fonts) for a clean PDF and log. Use this instead of running pdflatex/latexmk manually — it avoids the latexmk stale-log trap and silent grep failures on binary log output, and it reformats rather than…
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Convert Mathematica .nb or .m files to Wolfbook .wb format so they open and run in VS Code. Use when bringing existing .nb/.m files into Wolfbook, or to make an existing .wb bridge-safe.
sync-wb-nb
Propagate a change made in a Wolfbook .wb notebook into the paired .nb notebook so the two stay identical. Use immediately after every .wb edit.