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/sd0xdev/sd0x-harness/adrnpx skills add sd0xdev/sd0x-harness --skill adrgit clone --depth 1 https://github.com/sd0xdev/sd0x-harnessWrote 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/sd0xdev/sd0x-harness/adr)<a href="https://agentmods.dev/skills/sd0xdev/sd0x-harness/adr"><img src="https://agentmods.dev/badge/skills/sd0xdev/sd0x-harness/adr.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 | $0.00144 | $0.05023 |
| Opus 5 | $0.00072 | $0.02511 |
| Sonnet 5 | $0.00029 | $0.01005 |
| Haiku 4.5 | $0.00014 | $0.00502 |
Grade A, and why
adr 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 — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADR — Architecture Decision Record
Trigger
- Keywords: ADR, architecture decision record, decision record, record a decision, why did we choose, 架構決策, 決策紀錄
When NOT to Use
| Scenario | Alternative |
|---|---|
| Feature-wide technical design (components, data flow) | /tech-spec |
| Task progress / acceptance-criteria tracking | /create-request |
| Bulk backfill of decisions already made in the past | Separate request — this skill writes one ADR per invocation, not a batch |
Workflow
Phase 1: Resolve feature → shared feature-context resolution
Phase 2: Compute number → scan root + archived/, numeric max + 1, zero-pad to 3 digits
Phase 3: Gather content → Context / Decision / Status / Consequences / Alternatives
Phase 4: Write ADR → fill references/template.md, write to docs/features/<key>/
Phase 4b: Superseded link → (only if this ADR supersedes an existing one) edit both files
Phase 5: Report → path written, number assigned, links updated
Phase 1: Resolve Feature
Reuse the shared cascade — do not re-derive it here:
@skills/create-request/references/feature-context-resolution.md — the single copy since
doc-review-phasing r2 merged the two that had drifted apart; /tech-spec now keeps its own
command-free native-cascade reference in its own bundle instead of a second copy of this one —
canonical implementation scripts/lib/feature-resolver.js, invoked as
node scripts/resolve-feature.js [--feature <key>].
scan_error gate. scan_error !== false ⇒ the source sets are unknown, not empty —
report it and take the ⚠️ Need Human exit rather than recording a decision against a corpus you could not read — an ADR is a
time-stamped claim about what was true, and one written from an unreadable corpus is wrong forever. Gate on !== false, not
=== true: a {} payload from a shell fallback carries no such field at all, and a non-null key
is not evidence the sets are complete — scan_error rides alongside a resolved key.
What ships with it
2 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.
- 3d ago First seen · 296 lines · 144 tokens per session scan A 4bd76188f775
adr is a skill published in the GitHub repository sd0xdev/sd0x-harness (188 stars, last pushed today), licensed MIT. It adds 144 tokens to every session and 5,023 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 2026-08-30.
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