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 cherninlab/ennodia --skill pragmaticgit clone --depth 1 https://github.com/cherninlab/ennodiaWrote 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/cherninlab/ennodia/pragmatic)<a href="https://agentmods.dev/skills/cherninlab/ennodia/pragmatic"><img src="https://agentmods.dev/badge/skills/cherninlab/ennodia/pragmatic/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/cherninlab/ennodia/pragmatic"><img src="https://agentmods.dev/badge/skills/cherninlab/ennodia/pragmatic.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 | $0.00030 | $0.01303 |
| Opus 5.5 | $0.00012 | $0.00521 |
| Sonnet 5.5 | $0.00006 | $0.00261 |
| Haiku 4.5 | $0.00003 | $0.00130 |
Grade A, and why
pragmatic 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 3d 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Pragmatic orchestration
Use Ennodia MCP to finish the user's task with lower total cost per accepted result. This is experimental guidance, not a savings guarantee. One main agent can organize N independent attempts with tailored questions, useful model or skill differences, and evidence comparison. N=1 remains valid for a specialist or handoff. Do not treat repeated supervision and repair of one cheap worker as the default architecture.
Organize the work
-
Establish the complete task, acceptance evidence, permitted actions, source paths, and an explained execution allowance with time for verification. A direct command is sufficient for a simple lookup. For difficult work, ask Ennodia to organize purposeful independent attempts rather than manually inventing every specialist question. Steps 3 and 4 and a separate Compare use Ennodia's full tool set. If
ennodia_start_plan_adviceis missing, useennodia_runwithpragmatic, or tell the user to add--tools allto the Ennodia server arguments. -
Discover
ennodia_list_harnessesandennodia_list_skillsfor the target cwd. Verify model IDs through supported harness configuration or CLI discovery. Read mediainputGuidance; require a small native sample probe with file, range, tool and content-specific evidence. Caller tools may be absent in workers. Missing access, quota and deadlines require diagnosis, not a model-quality verdict. -
Use
ennodia_start_plan_advicewith the full objective and discovered model allowlists. Request independent approaches, tailored questions and, when useful or requested, matched trials with a discovered skill and no requested skill. Let the Advisor choose assignments within the caller's limits. Inspect the validated plan, acceptance coverage and inventory. Launch a ready plan withennodia_start_advised_planand its exact digest. An invalid plan starts no workers: preserve it, inspect the validation issues, and correct the specific problem. Do not silently treat invalid advice as executable. -
Use
ennodia_start_compositionalfor caller-defined or revised slices with distinct models, prompts or skill lists.skillIds: []means no requested skills; it does not disable native skill discovery. InspectunrequestedSkillsPresentand actual tool traces. A strict skill/no-skill experiment requires matching isolated environments and observed skill loading. Do not claim a skill effect when the trials also change model, prompt or fixtures. -
Use
ennodia_runwhen one prompt and its routing are sufficient. In version 0.3.0,pragmatic: {recipe: "investigate" | "patch", acceptanceCriteria: "..."}adds an evidence contract while preserving single, parallel and comparison choices. Compositional start and estimate accept the same contract.
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.
- 3d ago Changed · +2 lines dcf22fb14df0
- 11d ago First seen · 41 lines · 30 tokens per session scan A 915b7601d6c3
pragmatic is a skill published in the GitHub repository cherninlab/ennodia (5 stars, last pushed yesterday), licensed MIT. It adds 30 tokens to every session and 1,303 once invoked, about $0.0001 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 2026-09-19.
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