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.
git clone --depth 1 https://github.com/noizu-labs-ml/NoizuPromptLingoWrote 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/commands/noizu-labs-ml/noizupromptlingo/hydrate)<a href="https://agentmods.dev/commands/noizu-labs-ml/noizupromptlingo/hydrate"><img src="https://agentmods.dev/badge/commands/noizu-labs-ml/noizupromptlingo/hydrate/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/commands/noizu-labs-ml/noizupromptlingo/hydrate"><img src="https://agentmods.dev/badge/commands/noizu-labs-ml/noizupromptlingo/hydrate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00037 | $0.02379 |
| Opus 5 | $0.00018 | $0.01189 |
| Sonnet 5 | $0.00007 | $0.00476 |
| Haiku 4.5 | $0.00004 | $0.00238 |
Grade A, and why
hydrate 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 — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hydrate Agents
Copy skeleton NPL agent definitions into this project and customize them with project-specific context.
Input
The user specifies which agents to hydrate. Accepts:
- Agent names:
npl-tdd-coder npl-tasker npl-gopher-scout - Groups:
tdd(coder + tester + debugger),taskers(all tasker variants),pm(idea-to-spec + prd-editor + prd-manager),core(tdd + pm + tasker + gopher-scout + winnower) all: every available skeleton agent- No argument: prompt the user with available agents and groups
Group Definitions
| Group | Agents |
|---|---|
tdd |
npl-tdd-coder, npl-tdd-tester, npl-tdd-debugger |
taskers |
npl-tasker, npl-tasker-fast, npl-tasker-haiku, npl-tasker-opus, npl-tasker-sonnet, npl-tasker-ultra |
pm |
npl-idea-to-spec, npl-prd-editor, npl-prd-manager |
recon |
npl-gopher-scout, npl-winnower |
authoring |
npl-author, npl-technical-writer, npl-marketing-writer |
analysis |
npl-thinker, npl-threat-modeler, npl-perf-profiler, npl-sql-architect |
infra |
npl-build-master, npl-cpp-modernizer |
creative |
npl-persona, npl-persona-manager, npl-fim, npl-templater |
core |
tdd + pm + npl-tasker + npl-gopher-scout + npl-winnower + npl-project-coordinator |
Phase 1: Resolve Source and Target
Source Location
Find the NPL skeleton agents in order of precedence:
$NPL_HOME/.claude/agents/— explicit env var- Scan for the NoizuPromptLingo repo:
$NPL_PROJECTrepo path if it contains.claude/agents/npl-tasker.md~/Github/ai/NoizuPromptLingo/.claude/agents/~/.npl/agents/(installed agent cache)
- If no source found, stop and tell the user to set
$NPL_HOMEor install agents to~/.npl/agents/.
Target Location
.claude/agents/in the current working directory- Create it if it doesn't exist:
mkdir -p .claude/agents
Conflict Check
For each agent to copy:
- If
.claude/agents/<name>.mdalready exists, note it as existing - Ask the user: overwrite all, skip existing, or pick individually
- Default: skip existing (preserve project customizations)
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 · 228 lines · 37 tokens per session scan A 3a04d3d83990
hydrate is a command published in the GitHub repository noizu-labs-ml/NoizuPromptLingo (13 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 2,379 once invoked, about $0.0002 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 2026-09-04.
Other commands, from other repositories
bugfix
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD.
usage-add
PitWay: Accumulate measured planning or qa token usage onto a milestone.
dashboard
Generar dashboard HTML local con métricas de eficiencia del proyecto SDD.
hub-tdd
TDD workflow for MCP Hub implementation. Types → Tests (red) → Implementation (green) with git gates.
eval
Evaluate and improve one healthcare agent's system prompt. Run up to 5 iterations of: prepare fixed questions -> answer -> judge -> improve -> re-score -> commit if better.
tdd
A command that follows test-driven development (TDD), a method where you write tests before the code they check. It moves through writing a failing test, adding the smallest implementation, and then improving the code.