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 harness-intelgit 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/harness-intel)<a href="https://agentmods.dev/skills/roarista/awesome-harness/harness-intel"><img src="https://agentmods.dev/badge/skills/roarista/awesome-harness/harness-intel/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/harness-intel"><img src="https://agentmods.dev/badge/skills/roarista/awesome-harness/harness-intel.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 | $0.00038 | $0.02139 |
| Opus 5.5 | $0.00015 | $0.00856 |
| Sonnet 5.5 | $0.00008 | $0.00428 |
| Haiku 4.5 | $0.00004 | $0.00214 |
Grade A, and why
harness-intel 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 1mo 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
harness-intel — audit (inward) + scout (outward), proposal-only
Two directions, one discipline: evidence-cited, proposal-only, fit-filtered, never edits the live tree. AUDIT asks "does the harness do what it says?" (fidelity + behavioral drift) for ONE named repo. SCOUT asks "what should we add?" — either by turning Ro's repeated toil into a skill/hook, or stealing an external idea. Pick the mode from Ro's phrasing; if ambiguous, ask.
Hard rules (both modes, non-negotiable)
- Proposal-only. Never edit the target repo, or any repo. AUDIT output ->
~/Downloads/HARNESS_DRIFT_<repo>_<date>.md. SCOUT output ->~/Downloads/HARNESS_SCOUT_<date>.md. Ro reviews; a normal session applies/builds later. - One cheap read-only agent at a time (low-CPU, no VM —
[[feedback-low-cpu-no-vm]]). Don't fan out N agents. Kill worker process trees on finish. - Evidence or it didn't happen (R1). Every finding cites
file:line/ transcript / URL+date / command output read THIS run. Unverifiable -> UNKNOWN, never guessed. - Don't race live sessions. Reading is fine; never write, branch, push, or run
ml compact/pruneagainst a repo whose loop may be appending. Note if the tree is dirty. - Fit-filter every idea against OUR constraints (SCOUT) / every fix against real evidence (AUDIT) — no hype, no ungrounded brainstorm. We run API models (Claude/Codex 5.5), low-CPU no-VM no-GPU hardware, ambient hooks+skills not a framework. An idea needing GPU/weights/server/heavy runtime is NON-FIT, say so. A fix with no cited drift/bad-behavior is speculation, capped at 3 bullets in a fenced
## Out-of-scope observations (speculative)section, never in the findings table.
Mode A — AUDIT (inward: one repo vs reality)
Inputs: target repo path (resolve nicknames: intrn -> ~/Downloads/intrn; Vividlist/Previz -> ~/Downloads/Vividlist; forclosurehomes -> ~/Downloads/forclosurehomes; virality -> ~/Downloads/virality-pipeline). Cross-repo baseline: ~/.claude/projects/-Users-rodrigoarista/memory/global_orchestration_rules.md.
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.
- 1mo ago Changed · +4 lines · -127 tokens per session e2d1de814f22
- 2mo ago First seen · 59 lines · 165 tokens per session scan A ecf350b2c70e
harness-intel is a skill published in the GitHub repository roarista/awesome-harness (1 stars, last pushed 4d ago), licensed MIT. It adds 38 tokens to every session and 2,139 once invoked, about $0.0002 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.
harness-intel compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| harness-intelroarista/awesome-harness | Skill | 1 | 4d ago | MIT | A | 38 | Claude Code, Codex |
| systematic-debuggingopen-metadata/OpenMetadata | Skill | 16k | today | Apache-2.0 | A | 37 | Claude Code |
| log-error-digestzebbern/claude-code-guide | Skill | 4.7k | today | MIT | A | 71 | Claude Code, Codex |
| cwv-optimizeradobe/skills | Skill | 319 | today | Apache-2.0 | A | 112 | Claude Code |
| ci-fixersipyourdrink-ltd/bernstein | Skill | 1.2k | today | Apache-2.0 | A | 15 | Claude Code, Codex |
| diagnosing-missing-recordingsPostHog/posthog | Skill | 41k | today | none | A | 76 | Claude Code, Codex |
| loop-engineeringhuytieu/COG-second-brain | Skill | 1.3k | 15d ago | MIT | A | 63 | Claude Code |