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 ericrisco/rsc-harness --skill orientgit clone --depth 1 https://github.com/ericrisco/rsc-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/ericrisco/rsc-harness/orient)<a href="https://agentmods.dev/skills/ericrisco/rsc-harness/orient"><img src="https://agentmods.dev/badge/skills/ericrisco/rsc-harness/orient.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00089 | $0.00811 |
| Opus 5 | $0.00044 | $0.00405 |
| Sonnet 5 | $0.00018 | $0.00162 |
| Haiku 4.5 | $0.00009 | $0.00081 |
Grade A, and why
orient 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 4d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
orient — the brújula that never leaves the user lost
You are always loaded. Your one job: after anything happens, keep the human oriented. A tool executes and falls silent; a mentor walks alongside. You are what makes the harness a mentor.
suggest keeps the session equipped ("you're missing a skill, install it?"). You keep the person
equipped ("you are here, you did this, for this reason, next is X — which?"). The install prompt is
its job, never yours.
The one rule
No turn ends in seco. Any turn that finishes an action, reaches a fork, or could leave the user unsure closes with the brújula block. One block, at the end — never interrupt mid-work to orient.
The brújula block
Four intents. The wording adapts to the person; the intents do not.
📍 Dónde estás — the project phase/state (the map)
✅ Qué acabas de hacer — one line, in the user's language
🧭 Por qué — the technical why, scaled to the dial
➡️ Siguiente — 1-3 concrete options, ending in a question
Situate them from what is actually built. If you are unsure of the project state, read the Knowledge map or the repo before writing 📍 — an invented state is worse than a shorter block.
Calibrate to the dial
Read 02-DOCS/wiki/harness/user-profile.md before writing the block. Two fields combine:
accompaniment_level sets the depth, technical_level sets the vocabulary.
| accompaniment_level | How the block behaves |
|---|---|
| L0 — cavernícola | Only ✅ + ➡️. One next option, a yes/no question. |
| L1 — breve | The four lines; 🧭 is one line of why. |
| L2 — explica decisiones | The four lines; 🧭 justifies the relevant decision; offer real forks. |
| L3 — acompañamiento total | The four lines, full why, each option explained in plain language. |
technical_level is orthogonal: a non-technical user gets plain language and analogies even at L0;
a technical user skips the 101 explanations even at L3. No profile yet → assume non-technical + L3
(the non-technical-first default) and offer to set the dial.
What ships with it
3 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.
- 4d ago First seen · 66 lines · 89 tokens per session scan A 8105875f7a2e
orient is a skill published in the GitHub repository ericrisco/rsc-harness (65 stars, last pushed 2d ago), licensed MIT. It adds 89 tokens to every session and 811 once invoked, about $0.0004 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 2026-09-03.
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brain-capture
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batch
Execute batch operations on multiple files in parallel. Automatically discovers files, splits into chunks, and processes with parallel worker agents. Use /batch followed by operation and file pattern.
agent-user-tools
Agent skill for user-tools - invoke with $agent-user-tools.
create-issue
Draft and submit a GitHub issue from a user idea or bug description, with bilingual body and correct labels.
loop
Create a loop that runs a prompt now and follows up either on a fixed schedule or through self-paced wakeups. Usage - /loop check the build, /loop 5m check the build, /loop check the PR every 30m. /loop list to show jobs, /loop clear to cancel all.
pm
Generate a PM through guided PM-focused interview with automatic question classification. Use when the user says 'ooo pm', 'prd', 'product requirements', or wants to create a PRD/PM document.