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 skills add GiustoPiedimonte/agentic-engineering-marketplace --skill adrgit clone --depth 1 https://github.com/GiustoPiedimonte/agentic-engineering-marketplaceWrote 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/giustopiedimonte/agentic-engineering-marketplace/adr)<a href="https://agentmods.dev/skills/giustopiedimonte/agentic-engineering-marketplace/adr"><img src="https://agentmods.dev/badge/skills/giustopiedimonte/agentic-engineering-marketplace/adr/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/giustopiedimonte/agentic-engineering-marketplace/adr"><img src="https://agentmods.dev/badge/skills/giustopiedimonte/agentic-engineering-marketplace/adr.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 | $0.00067 | $0.00429 |
| Opus 5 | $0.00034 | $0.00215 |
| Sonnet 5 | $0.00013 | $0.00086 |
| Haiku 4.5 | $0.00007 | $0.00043 |
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 10d 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
/adr — record an architecture decision
Decisions are the answer to "why did we do X?". They live in a single append-only log so the reasoning survives long after the code changes.
$ARGUMENTS is the decision to record (or "review" to summarize recent ones).
Process
- Locate the log:
docs/DECISIONS.md(create it if missing, with a one-line header stating the contract — see below). - Find the next number: read existing
## ADR-NNNheaders and increment. If multiple sessions may run concurrently, confirm the number isn't taken right before writing (number collisions are a known failure mode). - Append one block using
references/ADR_FORMAT.md. Never edit or delete an existing ADR — a changed decision is a NEW ADR that supersedes the old one (add**Supersedes:** ADR-XXXand note it on the old block only as a pointer). - Keep it tight: one decision per block, dated, with rationale and consequences. This is a retrospective record of why, not a plan or a todo.
- Link it: if the decision came from a pitch, cross-link the pitch and ADR.
The log's header contract (write it once at the top of the file):
Append-only. One decision per block, dated, never edited. A revised decision is a new ADR that supersedes the old one. This is the authoritative record of why we decided things — not a plan, not a backlog.
What ships with it
1 file 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.
- 10d ago First seen · 38 lines · 67 tokens per session scan A 50c3d7b6bfaf
adr is a skill published in the GitHub repository GiustoPiedimonte/agentic-engineering-marketplace (13 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 429 once invoked, about $0.0003 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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Internal requirements-interview engine for the CCF commands plan and init. Invoked only by those commands through the Skill tool with a mode argument (plan / init); it interrogates the user one question at a time, exploring the code to self-answer first, and returns a summary of the decisions. Not a standalone…
adr-new
Create a new Architecture Decision Record with append-only, status-gated supersession, and update the ADR index. Invoke with /adr-new, or let /tdd-author invoke it on approval of an ADR action (this skill stays model-invocable for that reason).
cco-tools
Show what tools actually cost in tokens — learned per-tool averages from observed results, replacing the hardcoded MCP/Agent guesses.
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test-run
Run plugin test suites in this monorepo and report a concise pass/fail summary. Optional plugin slug arg; without arg, runs all plugins under plugins/.
design-system-reference
Style guides and implementation rules for frontend design. Works with design-discovery agent which handles context gathering and VS-based style recommendations. Contains detailed style guides, anti-patterns, and implementation checklists.