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/Pierry/harness-kitWrote 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/pierry/harness-kit/sdd)<a href="https://agentmods.dev/commands/pierry/harness-kit/sdd"><img src="https://agentmods.dev/badge/commands/pierry/harness-kit/sdd/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/pierry/harness-kit/sdd"><img src="https://agentmods.dev/badge/commands/pierry/harness-kit/sdd.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 | $0.00029 | $0.01139 |
| Opus 5.5 | $0.00012 | $0.00456 |
| Sonnet 5.5 | $0.00006 | $0.00228 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
sdd 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 16d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run spec-driven dev loop. Follow .claude/agents/staff-software-engineer/guides/sdd-loop.md.
Inputs
- Optional arg: path to source PRP. Default = latest approved PRP in
.claude/runtime/outputs/pm/prp/. - None found → abort. Tell user to run
/product-manager:prpfirst.
feature_id = basename of PRP file (no .md).
Pre-flight (hard gate)
Run sensor .claude/agents/staff-software-engineer/sensors/prp-has-acceptance-criteria.md on source PRP. Fail → block, return blocker. Do not proceed.
Print header card. Format: .claude/scripts/stage-card.md.
━━━ /sse:sdd · {feature_id} ━━━
**guides:** sdd-loop.md, pipeline.md
**refs:** prp/{feature_id}.md
**sensors:** prp-has-acceptance-criteria
**eval:** spec-satisfied (supervisor, per iter)
**next:** /sse:pr (after PASS, manual trigger)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Steps
-
Plan once. Invoke
/sse:plan. Wait approved marker. Hard stop if plan fails. -
Goal loop. Cap = 3 iters.
For iter in 1..3:
a. Write the iter start marker via the committed script (do NOT inline
date/printf):.claude/scripts/marker.sh start .claude/runtime/outputs/sse/.markers/{feature_id}.sdd-iter{N}-dev.startb. Invoke
/sse:dev. If iter > 1, pass--focus="{next_iter_focus from prior eval}". c. Invoke/sse:test. Capture report path. d. Run supervisor eval.claude/agents/staff-software-engineer/evals/spec-satisfied.md. Use fresh session (Task tool with subagent_type=general-purpose, prompt includes PRP path + dev summary path + test report path +git diff main...HEAD). Worker context must not leak. e. Parse eval JSON output. Verdict PASS → break. FAIL → recordnext_iter_focus, continue. -
Write transcript
.claude/runtime/outputs/sse/sdd/{feature_id}.md. Format perguides/sdd-loop.md§ Output artifact. -
PASS path: append approval marker:
<!-- approved: {YYYY-MM-DD} verdict=PASS iters={N} --> -
FAIL path (cap hit): append:
<!-- blocked: {YYYY-MM-DD} verdict=FAIL iters=3 -->Return blocker listing NOT_MET criteria + UNCLEAR items.
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.
- 16d ago Changed · +1 lines 061c1e058519
- 1mo ago First seen · 102 lines · 29 tokens per session scan A 731b28a7135a
sdd is a command published in the GitHub repository Pierry/harness-kit (4 stars, last pushed 16d ago), licensed MIT. It adds 29 tokens to every session and 1,139 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 2026-08-31.
Other commands, from other repositories
update-counts
Explicitly refresh public toolkit and committed marketplace source snapshots and numeric documentation.
watch
You are executing the /hydra:watch command. Live monitoring of all background agents with real-time status updates.
clean-check
Analyze code for cleanliness issues (unused code, comment quality, formatting, naming, complexity). Delegates to the code-cleanliness agent.
render
Inspect an archived transcript (gzipped) — show counts, tool calls, errors. Useful after a PreCompact or SessionEnd, before deciding to write a retroactive /continuum:checkpoint.
wiki-tune
Tune wiki schema and conventions interactively.
gws-people
Search and look up Google Contacts and directory profiles.