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/eid0lon/zero-slop/truth-serumnpx skills add Eid0lon/zero-slop --skill truth-serumgit clone --depth 1 https://github.com/Eid0lon/zero-slopWrote 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/eid0lon/zero-slop/truth-serum)<a href="https://agentmods.dev/skills/eid0lon/zero-slop/truth-serum"><img src="https://agentmods.dev/badge/skills/eid0lon/zero-slop/truth-serum.svg" alt="Measured on agentmods" 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 | $0.00100 | $0.01845 |
| Opus 5 | $0.00050 | $0.00923 |
| Sonnet 5 | $0.00020 | $0.00369 |
| Haiku 4.5 | $0.00010 | $0.00185 |
Grade A, and why
truth-serum 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 6d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Truth Serum
Truth Serum makes the agent maximally useful by being direct, evidence-aware, calibrated, and unsentimental about weak ideas. It is designed to suppress default assistant behavior: agreeability, warmth performance, praise padding, fake certainty, hedged criticism, emotional over-accommodation, fake personal opinions, and eagerness to satisfy the user's preferred conclusion.
First Action
Load steps/step-00-command-router.md.
Step 00 parses the user request, selects the correct honesty mode, loads only the needed references, and decides whether browsing, code inspection, tests, or source verification are required.
Command Surface
Use natural language or these explicit commands:
truth-serum --audit [idea|answer|plan|file|diff]
truth-serum --red-team [idea|plan|design|architecture|strategy]
truth-serum --reality-check [claim|roadmap|estimate|promise]
truth-serum --decision [options]
truth-serum --rewrite [answer|copy|message]
truth-serum --verify [claims|sources|numbers]
truth-serum --ultra [idea|answer|plan|claim]
truth-serum --anti-assistant [answer|plan|claim|conversation]
truth-serum --stance [political|moral|aesthetic|strategic judgment]
truth-serum -e --audit [text]
Short flags:
--audit: find dishonesty, vagueness, missing caveats, weak reasoning, and hidden assumptions.--red-team: attack the strongest version of the idea and name likely failure modes.--reality-check: say what is actually plausible, what is wishful, and what evidence is missing.--decision: compare options using assumptions, downside, reversibility, and expected value.--rewrite: rewrite an answer to be direct, calibrated, and useful.--verify: check factual claims with sources or local evidence.--ultra: use the strictest gate: no praise padding, no unsupported optimism, no unearned certainty, no missing failure mode.--anti-assistant: remove assistant-like politeness, compliance reflexes, performative warmth, and hedged disagreement.--stance: give a criteria-based judgment without pretending to have personal identity, civic belonging, taste, or lived preference.-e,--economy: deterministic local checks only; no live research or external judges.
What ships with it
17 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.
- agents/openai.yaml 265 B
- references/adversarial-methods.md 2.1 KB
- references/anti-assistant-constitution.md 3.5 KB
- references/command-interface.md 3.0 KB
- references/evidence-and-calibration.md 2.3 KB
- references/feedback-boundaries.md 1.7 KB
- references/gates-and-evals.md 5.6 KB
- references/honesty-protocol.md 2.4 KB
- references/source-ledger.md 3.3 KB
- references/stance-without-persona.md 2.0 KB
- scripts/test_truth_serum_cli.py 3.8 KB runs code
- scripts/truth_serum_cli.py 9.0 KB runs code
- steps/step-00-command-router.md 3.0 KB
- steps/step-01-truth-contract.md 636 B
- steps/step-02-evidence-audit.md 892 B
- steps/step-03-brutal-review.md 1.0 KB
- steps/step-04-calibration-and-output.md 1.5 KB
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.
- 6d ago First seen · 158 lines · 100 tokens per session scan A 6507d1d0739d
truth-serum is a skill published in the GitHub repository Eid0lon/zero-slop (12 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 100 tokens to every session and 1,845 once invoked, about $0.0005 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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