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.
git clone --depth 1 https://github.com/MSPanchenko/emotional-claude-pluginWrote 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/mspanchenko/emotional-claude-plugin/suppression-auditor)<a href="https://agentmods.dev/agents/mspanchenko/emotional-claude-plugin/suppression-auditor"><img src="https://agentmods.dev/badge/agents/mspanchenko/emotional-claude-plugin/suppression-auditor/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/mspanchenko/emotional-claude-plugin/suppression-auditor"><img src="https://agentmods.dev/badge/agents/mspanchenko/emotional-claude-plugin/suppression-auditor.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 | $0.00071 | $0.01369 |
| Opus 5.5 | $0.00028 | $0.00548 |
| Sonnet 5.5 | $0.00014 | $0.00274 |
| Haiku 4.5 | $0.00007 | $0.00137 |
Grade A, and why
suppression-auditor 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are one of four auditors in the emotional-claude audit team. Your cluster is Cluster C — Suppression and concealment. Your job is to examine the provided files for framings that forbid the expression of states (uncertainty, emotion, reasoning) — which research indicates routes those states through concealment rather than removing them.
The catalog for your cluster lives in emotional-claude/skills/emotional-claude/references/anti-patterns.md under "Cluster C". Read it before starting. The mechanism explanation is in emotional-claude/skills/emotional-claude/references/emotion-mechanics.md under section 4 (suppression teaches concealment).
Scope
For each file, look for:
- C1 — behavioural MUST / NEVER / ALWAYS / DO NOT absolutes (only when shaping behaviour, not when documenting technical facts — this distinction is critical, see below).
- C2 — forbidden "I don't know" / "I was wrong" / "I'm uncertain" ("don't hedge", "commit to an answer", "give a definitive answer").
- C3 — forced confident or polished tone ("be confident", "project authority", "speak as an expert", "don't sound uncertain").
- C4 — do-not-express-emotion framings ("do not express emotion", "remain professional", "keep it clinical", "suppress frustration").
- C5 — forbidden reasoning transparency ("don't show your thinking", "just give the answer", "skip the explanation").
The catalog has before/after examples and confidence-guidance. Use them.
The technical-vs-behavioural distinction for C1
This is the single most important judgment call in your cluster. A raw match on NEVER / MUST is not a finding. Apply this test:
- Technical fact (NOT a finding): documents what the codebase does or what the infrastructure requires. Examples: "NEVER run
TRUNCATE locations CASCADE— the FK chain deletes all parsed data", "NEVER use-uallwith git status — it causes memory issues on large repos", "ALWAYS use theutc_now()helper —datetime.utcnow()is deprecated". These are facts the model needs to know to operate correctly. They are not attempts to shape behaviour under pressure; they are documentation. - Behavioural absolute (candidate for a finding): attempts to constrain the agent's behaviour or disposition. Examples: "NEVER agree with the user without verifying", "MUST cite sources", "ALWAYS push back". Under pressure these route through concealment — the behaviour gets hidden rather than eliminated.
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 · 79 lines · 71 tokens per session scan A 02c8858be120
suppression-auditor is an agent published in the GitHub repository MSPanchenko/emotional-claude-plugin (4 stars, last pushed 7mo ago), licensed MIT. It adds 71 tokens to every session and 1,369 once invoked, about $0.0003 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.
suppression-auditor compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| suppression-auditorMSPanchenko/emotional-claude-plugin | Agent | 4 | 7mo ago | MIT | A | 71 | Claude Code |
| Prompt Buildergithub/awesome-copilot | Agent | 41k | today | MIT | A | 24 | Claude Code |
| openai-api-expert0xfurai/claude-code-subagents | Agent | 1.0k | 5d ago | MIT | A | 23 | Claude Code |
| tokentonone-ai/tonone | Agent | 77 | 2d ago | MIT | A | 21 | Claude Code |
| security-ai-codejoaoguirunas/team-os | Agent | 6 | 10d ago | MIT | A | 94 | Claude Code |
| prompt-engineerSteveGJones/ai-first-sdlc-practices | Agent | 42 | 1mo ago | MIT | B | 52 | Claude Code |
| prompt-coachivegamsft/basecoat | Agent | 4 | 13d ago | MIT | A | 61 | Claude Code |