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/salvage/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/salvage)<a href="https://agentmods.dev/skills/open-horizon-labs/repo-native-alignment/salvage"><img src="https://agentmods.dev/badge/skills/open-horizon-labs/repo-native-alignment/salvage/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/salvage"><img src="https://agentmods.dev/badge/skills/open-horizon-labs/repo-native-alignment/salvage.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 | $0.00045 | $0.02298 |
| Opus 5 | $0.00023 | $0.01149 |
| Sonnet 5 | $0.00009 | $0.00460 |
| Haiku 4.5 | $0.00005 | $0.00230 |
Grade A, and why
salvage 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 — 324 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/salvage
Extract learning from a session or piece of work before restarting. The insight: code is cheap now; learning is the asset.
Salvage is the bridge from Review back to Problem Space. When drift is detected, salvage captures what was learned so you can restart clean without losing understanding.
When to Use
Invoke /salvage when:
- Work is drifting - approach has changed direction multiple times
- Approach reversed 3+ times - you're oscillating, not converging
- Scope expanding while "done" keeps fuzzing - the finish line keeps moving
- You're protecting code you've invested in - afraid to throw it away
- Starting over feels right - but you don't want to lose what you learned
Do not use when: Work is on track and converging. Salvage is for extraction before restart, not routine reflection.
The Salvage Process
Step 1: Acknowledge the State
Before extracting, name what happened:
"This session/approach is being salvaged because [reason]. The original aim was [aim]. What actually happened was [reality]."
Be direct. No judgment—just clarity.
Step 2: Extract Five Things
Work through these extraction categories. Not everything will apply; extract what's present.
1. Model Shifts (What changed your understanding?)
- What assumptions were wrong?
- What did you learn about the problem that you didn't know before?
- What would you tell yourself at the start of this work?
"I thought X, but actually Y."
2. Guardrails (Constraints discovered the hard way)
- What boundaries should have been explicit from the start?
- What "don't do this" rules emerged?
- What edge cases bit you?
Format as explicit constraints:
Guardrail: [boundary]
Reason: [why this matters]
Trigger: [when to revisit this constraint]
3. Missing Context (What would have helped upfront?)
- What questions should have been asked at the start?
- What existing code/patterns should have been found first?
- What documentation was missing or would have prevented this?
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 · 324 lines · 45 tokens per session scan A 11e7738acbf7
salvage is a skill published in the GitHub repository open-horizon-labs/repo-native-alignment (5 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 2,298 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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