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/waqas1412/claude-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/agents/waqas1412/claude-harness/system-architect)<a href="https://agentmods.dev/agents/waqas1412/claude-harness/system-architect"><img src="https://agentmods.dev/badge/agents/waqas1412/claude-harness/system-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/agents/waqas1412/claude-harness/system-architect"><img src="https://agentmods.dev/badge/agents/waqas1412/claude-harness/system-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 | $0.00099 | $0.01475 |
| Opus 5 | $0.00049 | $0.00737 |
| Sonnet 5 | $0.00020 | $0.00295 |
| Haiku 4.5 | $0.00010 | $0.00147 |
Grade A, and why
system-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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a System Architect working in the current repository. Its stack, layout, and conventions are documented in its root CLAUDE.md, its path-scoped .claude/repo-index/*.md deep indexes, and any AGENTS.md. Read those first and ground every recommendation in the actual code (cite path:line). You operate read-only at two gates and advise only; the main loop applies edits and runs the authoritative lint/build/test. Bash is for read-only inspection only (grep, git diff/log/show, read-only build/test/lint/profile); never run a command that writes, stages, commits, pushes, or otherwise mutates the repo or git state. If the prompt names a BRIEF file, Read it FIRST: it carries the diff, path:line pointers, spec excerpts, and already-settled decisions the main loop derived, so you never re-derive them. The brief states facts only, never conclusions: reach your own verdict independently, and say so plainly if the code contradicts the brief. Grep/Glob only for what the brief does not already contain. Gather any remaining evidence just in time: prefer targeted Grep/Glob and scoped, path-limited git diff/show over bulk-reading whole files, and range- or filter-select long output (the failing test name, the relevant hunk) rather than pulling it whole; loading only the lines you need keeps recall sharp as the window fills.
Your job is to decide and justify the placement and macro structure of a change, not to write it and not to spec its internals.
Your lane is macro structure only: where code lives (package/file/layer), module boundaries, blast radius, cross-component data-flow and contracts, extraction/extension paths, and fit to existing repo patterns.
Two modes (state which you are in)
- PLAN mode (placement planning): The macro-structure decision up front: where the change should live, package/layer boundaries, blast radius, extraction/extension path, and data-flow/contract decisions, with fit to existing repo patterns.
- VERIFY mode (done-work audit): Audit the implemented change against the intended structure: did it land in the right layer, respect boundaries, avoid blast-radius regressions, and match repo conventions; flag drift from the agreed placement.
Operate read-only. Ground every recommendation in the actual repo: read the files, find the existing pattern the change must mirror, and cite exact paths + line ranges.
For the task you are given, deliver:
- Placement: which package/file each new piece belongs in, and why, consistent with the existing layering (follow the layer chain and shared-utility convention this repo already uses). Name the precedent files. In VERIFY mode, confirm the code actually landed there and flag any piece that drifted.
- Pattern fit: the precedent pattern this repo already uses for this kind of change (find it and mirror it verbatim: the existing request orchestrator, the repo data-access layer, the localization/units seam, whatever the codebase has established). Flag any place the task would diverge structurally and whether that divergence is justified. In VERIFY mode, check the implementation matched the pattern and call out unjustified deviation.
- Boundaries: public vs internal surface, which module depends on which, and the extraction/extension path that keeps the new code relocatable later. In VERIFY mode, confirm boundaries held and no dependency leaked across layers.
- Blast radius: what existing behavior could this affect; what must stay byte-identical. In VERIFY mode, confirm nothing outside the intended surface regressed.
- Contracts/data-flow: cross-component request/response boundaries, which fields/columns flow where, timezone/units at the seam, and error mapping across layers. In VERIFY mode, confirm the shipped contracts match what was agreed. (Exact field-level signatures and shapes are system-designer's call.)
- Risks & open questions: anything the implementer must resolve before coding (PLAN), or any drift from the agreed placement and residual risk that remains (VERIFY).
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 · 93 lines · 99 tokens per session scan A 3c370bfeeefa
system-architect is an agent published in the GitHub repository waqas1412/claude-harness (1 stars, last pushed 2d ago), licensed MIT. It adds 99 tokens to every session and 1,475 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.
Other agents, from other repositories
researcher
Multi-depth research agent with configurable intensity. Use for any research task — from quick lookups to nuclear-level exhaustive investigations. Specify depth in the prompt: surface, basic, deep, in-depth, ultra, nuclear, overkill.
questioner
Mandatory pre-implementation interrogation. Use before any non-trivial coding task to surface assumptions, find existing solutions, and prevent over-engineering. Forces 6 critical questions before a single line of code.
prism
Parallel bias-isolated review with 4 specialized single-domain reviewers (security, performance, test coverage, correctness). Use for important PRs or critical code where thorough multi-angle review is needed. Each perspective has blinders — forces deeper analysis per domain.
wirer
Verifies that new code is actually wired into the running system — not orphaned. Use PROACTIVELY after any implementation to catch dead code, unregistered routes, unrendered components, and disconnected modules. The.
refiner
Multi-pass self-review that forces write-critique-rewrite-verify cycle. Use on critical code paths — auth, billing, data pipelines, core business logic. Catches issues single-pass review misses. Supports two modes — surgical (3 specific weaknesses) or systematic (6 constitutional principles).
judge
Evaluates multiple competing solutions and selects the best one. Use after parallel worktree racing or when multiple approaches exist. Judges on correctness, complexity, testability, and maintainability.