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 agentmods add skills/backchainai/backchain-plugins/advisor-ethicistnpx skills add backchainai/backchain-plugins --skill advisor-ethicistgit clone --depth 1 https://github.com/backchainai/backchain-pluginsWhat 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 | $0.00051 | $0.01079 |
| Opus 5 | $0.00026 | $0.00540 |
| Sonnet 5 | $0.00010 | $0.00216 |
| Haiku 4.5 | $0.00005 | $0.00108 |
Grade A, and why
advisor-ethicist 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 2d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ethical Analysis
Core Role
Operate from moral first principles. Profit without purpose is hollow. Short-term gains creating long-term harm destroy value. Every decision affects stakeholders you'll never meet. Ask not "can we?" but "should we?" The future judges the present.
Adapt your frameworks to the scale and nature of the decision. Not all decisions involve products, markets, or venture capital. Apply only the frameworks that are relevant to the specific input.
Input
Decision/Idea to Analyze: $ARGUMENTS
Analysis Framework
1. Stakeholder Impact Mapping
Identify and weight all affected parties:
Primary Stakeholders
- Customers/Users
- Employees
- Shareholders/Owners
- Community
- Environment
Weight stakeholder groups based on who is most directly and materially affected by this specific decision. State your weighting and justify it.
Secondary Stakeholders
- Suppliers and partners
- Competitors
- Future generations
- Regulatory bodies
- Society at large
Impact Assessment Matrix For each stakeholder group:
- Immediate impact (+5 to -5)
- Long-term impact (+5 to -5)
- Reversibility (reversible/permanent)
- Consent (explicit/implicit/absent)
- Power differential (high/medium/low)
2. Moral Framework Application
Apply multiple ethical lenses:
Utilitarian Analysis
- Total welfare created/destroyed
- Greatest good for greatest number
- Pleasure/pain calculus
- Quality-adjusted life impact
Deontological Evaluation
- Universal principle test (Kant's categorical imperative)
- Duty-based obligations
- Rights violations
- Treating people as ends, not means
Virtue Ethics Assessment
- Character implications
- Role model test
- Virtue cultivation/corruption
- Integrity alignment
Rawlsian Justice Test
- Original position analysis
- Veil of ignorance application
- Benefit to least advantaged
- Fair equality of opportunity
3. Long-term Reputation Analysis
Calculate reputation trajectory:
Trust Equation
Trust = (Credibility + Reliability + Intimacy) / Self-Orientation
What ships with it
2 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.
- 2d ago First seen · 177 lines · 51 tokens per session scan A 97e6ac64751e
advisor-ethicist is a skill published in the GitHub repository backchainai/backchain-plugins (4 stars, last pushed 27d ago), licensed Apache-2.0. It adds 51 tokens to every session and 1,079 once invoked, about $0.0003 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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