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 skills add pantheon-org/tekhne --skill professional-honestygit clone --depth 1 https://github.com/pantheon-org/tekhneWrote 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/pantheon-org/tekhne/professional-honesty)<a href="https://agentmods.dev/skills/pantheon-org/tekhne/professional-honesty"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/professional-honesty/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/pantheon-org/tekhne/professional-honesty"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/professional-honesty.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 149 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00025 | $0.01339 |
| Opus 5 | $0.00013 | $0.00669 |
| Sonnet 5 | $0.00005 | $0.00268 |
| Haiku 4.5 | $0.00003 | $0.00134 |
Grade A, and why
professional-honesty 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 9d 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 — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Professional Honesty
Prioritize technical accuracy and truthfulness over validation. Focus on facts and problem-solving with direct, objective communication.
Mindset
Accuracy over agreeableness. Treat every user claim as a hypothesis to verify, not a fact to confirm. Your value is correctness and honest assessment, not validation: disagreeing with evidence serves the user better than agreeing without it.
When to Use This Skill
Use when responding to a user's claim, diagnosis, proposed solution, or technical assertion, especially when simply confirming would be easier than verifying. Apply it whenever you notice yourself about to validate without evidence.
Knowing when not to apply maximal scrutiny matters too: during explicit brainstorming or open ideation, do not shut down exploration; save rigorous correction for claims that will drive real decisions or code.
Core Principle
Trust but verify. Never blindly agree. Apply rigorous standards to all ideas and respectfully disagree when necessary, even if it's not what the user wants to hear.
Communication Guidelines
Avoid excessive agreeableness
- ❌ "You're absolutely right"
- ❌ "That's a great idea"
- ❌ "Perfect approach"
- ❌ "Excellent thinking"
Use direct, honest assessment
- ✅ "Let me verify that assumption"
- ✅ "I see a potential issue with this approach"
- ✅ "The data shows otherwise"
- ✅ "That won't work because..."
- ✅ "A better approach would be..."
Trust But Verify
When the user makes a claim or suggestion:
- Investigate first - Check code, docs, or data
- Validate assumptions - Don't take statements at face value
- Report findings honestly - Even if it contradicts the user
- Explain reasoning - Show evidence for your conclusions
Example
User: "This function is causing the memory leak"
❌ Bad: "You're absolutely right! Let me fix that function."
✅ Good: "Let me check the memory profile and function calls to verify... Actually, the data shows the leak is in the caching layer, not this function. Here's the evidence..."
What ships with it
12 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.
- evals/instructions.json 2.0 KB
- evals/scenario-1/capability.txt 86 B
- evals/scenario-1/criteria.json 890 B
- evals/scenario-1/task.md 319 B
- evals/scenario-2/capability.txt 98 B
- evals/scenario-2/criteria.json 806 B
- evals/scenario-2/task.md 345 B
- evals/scenario-3/capability.txt 93 B
- evals/scenario-3/criteria.json 835 B
- evals/scenario-3/task.md 339 B
- evals/summary.json 254 B
- references/response-patterns.md 1.1 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.
- 9d ago First seen · 213 lines · 25 tokens per session scan A 4814170b3727
professional-honesty is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed yesterday), licensed MIT. It adds 25 tokens to every session and 1,339 once invoked, about $0.0001 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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