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 skills/jazz1x/harnish/drafti-architectnpx skills add jazz1x/harnish --skill drafti-architectgit clone --depth 1 https://github.com/jazz1x/harnishWrote 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/jazz1x/harnish/drafti-architect)<a href="https://agentmods.dev/skills/jazz1x/harnish/drafti-architect"><img src="https://agentmods.dev/badge/skills/jazz1x/harnish/drafti-architect.svg" alt="Measured on agentmods" 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 | $0.00133 | $0.01846 |
| Opus 5 | $0.00067 | $0.00923 |
| Sonnet 5 | $0.00027 | $0.00369 |
| Haiku 4.5 | $0.00013 | $0.00185 |
Grade A, and why
drafti-architect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
drafti-architect — Technical Design PRD
Makes design decisions from technical problems and produces an implementation-ready PRD, without a planning document.
Bash Convention
Each Bash tool invocation is a fresh subshell. Every bash block re-declares HARNISH_ROOT="${CLAUDE_PLUGIN_ROOT}" inline; no persistent variables.
Skill Chain
Can be invoked independently. Follow-up: "start implementation after review" → impl, or "/galmuri:ralphi to verify PRD consistency" → galmuri:ralphi (sibling plugin).
Step 1: Problem Clarification
Inspect 5 items from the user input. Skip items that already have answers.
| # | Item | Inspection Criteria |
|---|---|---|
| 1 | Problem Definition | Is there a "what is the problem" + specific pain point? |
| 2 | Urgency | Is there a "why must this be solved now"? |
| 3 | Technical Constraints | Are there stack/compatibility requirements? (If none, proceed with "no constraints") |
| 4 | Scope | Is there a distinction between "what to do now" vs "what to do later"? |
| 5 | Success Criteria | Is there a method to determine completion? |
- Only ask about items marked ❌. Skip items marked ✅.
- Ask 1~2 items at a time, complete within 2 rounds total. Mark unanswered items as "[unconfirmed]" and proceed.
Step 2: Existing Asset Query
Extract 3~5 tags from the problem (tech stack → problem domain → task type order).
HARNISH_ROOT="${CLAUDE_PLUGIN_ROOT}"
if [[ -n "$HARNISH_ROOT" ]]; then
bash "$HARNISH_ROOT/scripts/query-assets.sh" \
--tags "{extracted tags}" --format inject \
--base-dir "$(pwd)/.harnish"
fi
- Assets found → reflect guardrails in §7, decisions in §2 reinforcement, failures in §5
- Empty result → proceed without assets
Step 3: Design Alternative Exploration
Generate at least 2 alternatives. Create alternatives even if there is an "obvious right answer."
Alternative discovery: Existing tools? Build from scratch? Architecture change? Status quo? Phased approach?
For each alternative:
## Alternative {A/B/C}: {name}
| Aspect | Evaluation |
|------|------|
| Pros | (quantify if possible) |
| Cons | (cost, risk, limitations) |
| Implementation difficulty | Low/Medium/High + reason |
| Suitable situation | When is this the best choice |
| Rejection condition | When should this NOT be used |
What ships with it
5 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.
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.
- 5d ago First seen · 174 lines · 133 tokens per session scan A fc55ec9944d5
drafti-architect is a skill published in the GitHub repository jazz1x/harnish (4 stars, last pushed 3mo ago), licensed MIT. It adds 133 tokens to every session and 1,846 once invoked, about $0.0007 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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