Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Ohswedd/praxis/plugin install praxisWrote 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/ohswedd/praxis/prompt-architect)<a href="https://agentmods.dev/skills/ohswedd/praxis/prompt-architect"><img src="https://agentmods.dev/badge/skills/ohswedd/praxis/prompt-architect/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/ohswedd/praxis/prompt-architect"><img src="https://agentmods.dev/badge/skills/ohswedd/praxis/prompt-architect.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 | $0.00103 | $0.01203 |
| Opus 5 | $0.00051 | $0.00602 |
| Sonnet 5 | $0.00021 | $0.00241 |
| Haiku 4.5 | $0.00010 | $0.00120 |
Grade A, and why
prompt-architect 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 9d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prompt Architect
Most defects start as misunderstood requests. This skill converts a loose prompt into a spec precise enough to execute against and to verify against, without inventing scope the user did not ask for.
Method
-
Extract the true intent. State, in one or two sentences, the outcome the user actually wants, not a literal restatement of their words. If their phrasing and their apparent goal diverge, note both.
-
Draw the scope boundary.
- In scope: the concrete deliverables that satisfy the intent.
- Out of scope / non-goals: adjacent things you will NOT do. This is the most important part: it prevents both over-reach and silent under-delivery. If you must exclude something the user might expect, say so explicitly.
-
Write acceptance criteria. Testable, observable conditions for "done" (e.g. "endpoint returns 400 on missing field", "existing X tests still pass"). These become the audit checklist later.
-
Separate facts from assumptions. List every assumption you are making to fill a gap the user left. Assumptions are allowed; hiding them is not.
-
Surface open questions. Only genuine blockers or true ambiguities. For each:
- if it blocks correct work → ask it now, concisely;
- if not → state the assumption you'll proceed under and continue. Prefer proceeding under a stated assumption over stalling on trivia.
-
Right-size the output. For a big or ambiguous task, present the full spec and confirm before proceeding. For a small, unambiguous task, compress it to a sentence or two and move on: do not bureaucratise trivial work.
-
Split a large request into an ordered plan. One prompt is very often several tasks. "Handle these four improvements and ship it" is not one unit of work, and treating it as one produces a single opaque commit, a pull request nobody can review, and a report that cannot say which part is finished.
Decompose whenever the request has more than one deliverable, touches more than one subsystem, or would take more than a handful of steps. Each subtask must be:
- independently completable, and ideally independently correct: something you could stop after and still have left the repo in a working state;
- one commit's worth of work, because that is exactly what it becomes;
- ordered by dependency, so nothing is started before what it rests on.
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.
- 9d ago First seen · 101 lines · 103 tokens per session scan A cba027f107d1
prompt-architect is a skill published in the GitHub repository Ohswedd/praxis (1 stars, last pushed 1mo ago), licensed MIT. It adds 103 tokens to every session and 1,203 once invoked, about $0.0005 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 2026-08-31.
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