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/.agents/skills/dissent/SKILL.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/skills/open-horizon-labs/repo-native-alignment/dissent)<a href="https://agentmods.dev/skills/open-horizon-labs/repo-native-alignment/dissent"><img src="https://agentmods.dev/badge/skills/open-horizon-labs/repo-native-alignment/dissent/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/open-horizon-labs/repo-native-alignment/dissent"><img src="https://agentmods.dev/badge/skills/open-horizon-labs/repo-native-alignment/dissent.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 | $0.00043 | $0.02857 |
| Opus 5 | $0.00022 | $0.01429 |
| Sonnet 5 | $0.00009 | $0.00571 |
| Haiku 4.5 | $0.00004 | $0.00286 |
Grade A, and why
dissent 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 11d 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 — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/dissent
Structured disagreement that strengthens decisions. The insight: find flaws before the one-way door closes.
Dissent is not attack. It's the practice of actively seeking reasons you might be wrong. The devil's advocate is a role, not a personality.
When to Use
Invoke /dissent when:
- About to lock in a one-way door - architecture choices, major hires, public API contracts, anything hard to reverse
- Confidence is high but stakes are higher - feeling certain is when you need dissent most
- Team is converging too quickly - unanimous agreement without debate is a warning sign
- You're defending a position - advocacy mode is the enemy of truth-seeking
- The path forward seems obvious - obvious paths have hidden assumptions
Do not use when: Gathering initial options, brainstorming, or exploring. Dissent is for stress-testing decisions, not generating them.
The Dissent Process
Step 1: Steel-Man the Current Approach
Before attacking, fully articulate the position you're challenging:
"The current approach is [approach]. The reasoning is [reasoning]. The expected outcome is [outcome]. This is the strongest version of this position."
If you can't state the position charitably, you don't understand it well enough to challenge it.
Step 2: Seek Contrary Evidence
Actively search for information that contradicts the current approach:
- What data would prove this approach wrong?
- Who disagrees with this? What's their strongest argument?
- What similar approaches have failed elsewhere? Why?
- What are we ignoring because it's inconvenient?
"If this approach were wrong, what would we expect to see? Are we seeing any of that?"
Step 3: Pre-Mortem
Imagine it's six months from now and this decision failed. Work backward:
"This failed because [reason]. The warning signs we ignored were [signs]. The assumption that broke was [assumption]."
Generate at least three plausible failure scenarios:
- Technical failure - It doesn't work as expected
- Adoption failure - It works but nobody uses it / changes nothing
- Opportunity cost - It works but we should have done something else
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.
- 11d ago First seen · 373 lines · 43 tokens per session scan A de684338ef63
dissent is a skill published in the GitHub repository open-horizon-labs/repo-native-alignment (5 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 2,857 once invoked, about $0.0002 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.
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