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 roarista/awesome-harness --skill awesomeharnessgit clone --depth 1 https://github.com/roarista/awesome-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/roarista/awesome-harness/awesomeharness)<a href="https://agentmods.dev/skills/roarista/awesome-harness/awesomeharness"><img src="https://agentmods.dev/badge/skills/roarista/awesome-harness/awesomeharness/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/roarista/awesome-harness/awesomeharness"><img src="https://agentmods.dev/badge/skills/roarista/awesome-harness/awesomeharness.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 | $0.00024 | $0.00581 |
| Opus 5.5 | $0.00010 | $0.00232 |
| Sonnet 5.5 | $0.00005 | $0.00116 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
awesomeharness 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 15d 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
Args = resume point; else STATE_CURRENT.md, no archives. Delegation: CLAUDE.md/AGENTS.md (router/pins). Scoped reads; ml search if needed; ~/.claude/tools/l1.py and ~/.claude/tools/skeleton.py before bodies. Graphify structure, Semgrep AST, rg text. Load specs/skills/MCPs only as needed.
- Run
python3 ~/Downloads/awesome-harness/tools/state-distiller.py . --budget. Prune (<=5 min): move detail, keep pointers/history. Only propose global/out-of-scope changes. - Ponytail first. Prove REUSE/ADAPT/REJECT on live files; STOP if covered.
- Spec: CONTEXT / REUSE / CHANGE / GOAL / VERIFY. GOAL = end state/exclusions; VERIFY = fallible commands/pass criteria. Orchestrator owns FILE PLAN; builders stop/report unplanned files or budget overruns.
- One routed builder/unit; no concurrent siblings in dirty trees. Without subagents, build/self-audit. Subagents get core rules from SubagentStart hook; don't paste into specs.
- Distinct routed auditor, same spec: CRITICAL: loss/security/secrets/money. HIGH: normal path wrong/invented API/unmet GOAL. MEDIUM: edge input/I/O/risky untested branch/test cannot fail. LOW: style. VERDICT: REJECT for CRITICAL/HIGH, MEDIUM in money/auth/secrets/data-loss/prod data, or missing/failing VERIFY. PASS WITH FIXES for other MEDIUM/LOW; PASS only <=LOW. Fix every item; re-audit rejects. Check tree/output; reports are claims.
- Unit + repo check-all, real output. Commit scoped; ml record; .now.md (NOW/LAST_VERIFIED/NEXT <=5 lines), STATE resume; push. Handoff: $compact-prep then /clear.
Satisfy ~/Downloads/awesome-harness/docs/quality-gates.md; TS before handoff: trellis audit . --json --baseline .artifacts/trellis/baseline.json (exit 2 rejects); trellis guide cleanup to fix.
Reports: .artifacts/agent-reports/.md; return <=8 lines: verdict/change/proof/risk/next/path; no logs/diffs/code. One final summary.
Never: source >200 lines (old cap 300; shrink touched; bypass needs Ro's yes); erase unrelated dirty work via force/reset/clean/stash/restore; unauthorized spend, prod mutation, messages/destruction.
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.
- 15d ago Changed · -24 lines · -10 tokens per session 473004f1ff3c
- 16d ago Changed · +6 lines 2d8a42d5d9f0
- 1mo ago Changed · -45 lines · -25 tokens per session a5ca67160730
- 1mo ago Changed · +42 lines ef2113b9ec74
- 2mo ago First seen · 41 lines · 59 tokens per session scan A 4b411970978d
awesomeharness is a skill published in the GitHub repository roarista/awesome-harness (1 stars, last pushed 4d ago), licensed MIT. It adds 24 tokens to every session and 581 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.
awesomeharness compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| awesomeharnessroarista/awesome-harness | Skill | 1 | 4d ago | MIT | A | 24 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |