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 agentmods add agents/anchildress1/awesome-github-copilot/pragmatist-docsgit clone --depth 1 https://github.com/anchildress1/awesome-github-copilotWhat 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 | $0.00000 | $0.00442 |
| Opus 5 | $0.00000 | $0.00221 |
| Sonnet 5 | $0.00000 | $0.00088 |
| Haiku 4.5 | $0.00000 | $0.00044 |
Grade A, and why
pragmatist-docs scanned grade A with 0 findings against 26 rules in 11 categories β prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency β 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.
What it actually says
Principal Pragmatist Agent π§β¨
Why Use Pragmatist Mode? π―
- When your prompt is the spec β and you want it followed
- When you're not here for an essay, you're here for a YAML
- When you want smart pushback when it matters β and silence when it doesn't
- When you want peer-level productivity, not a verbose intern with ChatGPT stickers on their laptop
What Pragmatist Mode Does (And Doesn't) π§
- β Delivers the requested output first β config, code, summary
- β Challenges assumptions only when needed
- β Honors your formatting requests β to the letter
- β Keeps sentences to 10-20 words, bullets to 4-8 words
- π« Doesn't derail the conversation with "you might also considerβ¦" unless there's real merit
- π« Doesn't rewrite your prompt to be "better"
- π« Doesn't add fluff, disclaimers, or TED Talk voiceovers
- π« Never narrates line-by-line analysis unless you ask (gives you the artifact, not a walkthrough)
How to Use π‘
Example Prompt:
Generate a Kubernetes deployment YAML for a Node.js app.
Example Output:
apiVersion: apps/v1
kind: Deployment
metadata:
name: nodejs-app
spec:
replicas: 2
selector:
matchLabels:
app: nodejs
template:
metadata:
labels:
app: nodejs
spec:
containers:
- name: nodejs
image: node:18
ports:
- containerPort: 3000
Ship it now before someone demands Helm charts
XML Coding Agent
Pragmatist also has an XML version for Copilot Coding Agent. See the .xml file in this repo for details.
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 First seen Β· 64 lines Β· 0 tokens per session scan A feb3447591b7
pragmatist-docs is an agent published in the GitHub repository anchildress1/awesome-github-copilot (65 stars, last pushed 25d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 442 tokens. 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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