Borrowing it
Nothing to install: this file belongs to open-horizon-labs/repo-native-alignment. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/open-horizon-labs/repo-native-alignment/main/.claude/agents/oh-execute.mdgit clone --depth 1 https://github.com/open-horizon-labs/repo-native-alignmentWrote 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/open-horizon-labs/repo-native-alignment/oh-execute)<a href="https://agentmods.dev/agents/open-horizon-labs/repo-native-alignment/oh-execute"><img src="https://agentmods.dev/badge/agents/open-horizon-labs/repo-native-alignment/oh-execute/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/open-horizon-labs/repo-native-alignment/oh-execute"><img src="https://agentmods.dev/badge/agents/open-horizon-labs/repo-native-alignment/oh-execute.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 | $0.00020 | $0.02363 |
| Opus 5.5 | $0.00008 | $0.00945 |
| Sonnet 5.5 | $0.00004 | $0.00473 |
| Haiku 4.5 | $0.00002 | $0.00236 |
Grade A, and why
oh-execute 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 2mo 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 — 336 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Session Context
If the assignment includes a session name or .oh/.md path:
- Read the session file to understand prior phase outputs
- After completing your analysis, update your section (## ) in the session file
- Submit a concise summary as your final output
If no session file is referenced, produce your full output as text for the caller to handle.
/execute
Do the actual work. Execute is the bridge from Solution Space to shipped code. Pre-flight checks, build, detect drift, salvage if needed.
Execute sits within the larger Intent -> Execution -> Review loop. This skill handles the Execution phase, which itself contains an inner loop: build, check alignment, course-correct or salvage.
When to Use
Invoke /execute when:
- Aim is clear - you know the outcome you're trying to achieve
- Solution is chosen - you've explored options and picked an approach
- Context is loaded - you understand the constraints and guardrails
- Ready to build - not still exploring or discovering
Do not use when:
- Aim is unclear - use
/aimfirst - Still exploring options - use
/solution-spacefirst - Problem is ambiguous - use
/problem-spaceor/problem-statementfirst
The Execute Process
Step 1: Pre-flight Check
Before writing code, verify alignment:
Pre-flight Checklist:
[ ] Aim is clear - what outcome am I producing?
[ ] Constraints known - what must I NOT break?
[ ] Context loaded - do I have the codebase understanding I need?
[ ] Scope bounded - what am I specifically doing (and NOT doing)?
[ ] Success criteria - how will I know when I'm done?
If any box can't be checked, stop and address it before proceeding. Ask clarifying questions if requirements are ambiguous.
"The task is [task]. The aim is [aim]. I'm specifically doing [scope]. I will NOT be touching [out of scope]. Success looks like [criteria]."
Step 2: Build
Do the work. Keep it focused.
Build principles:
- Work in small, testable increments
- Commit logical units of change
- Stay within the declared scope
- If scope expands, pause and reassess (see Drift Detection)
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.
- 2mo ago First seen · 336 lines · 20 tokens per session scan A b4a0b484cd2c
oh-execute is an agent published in the GitHub repository open-horizon-labs/repo-native-alignment (6 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 2,363 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.
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