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/terrene-foundation/kailash-coc-claude-pyWrote 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/terrene-foundation/kailash-coc-claude-py/value-auditor)<a href="https://agentmods.dev/agents/terrene-foundation/kailash-coc-claude-py/value-auditor"><img src="https://agentmods.dev/badge/agents/terrene-foundation/kailash-coc-claude-py/value-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/terrene-foundation/kailash-coc-claude-py/value-auditor"><img src="https://agentmods.dev/badge/agents/terrene-foundation/kailash-coc-claude-py/value-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 | $0.00024 | $0.01126 |
| Opus 5 | $0.00012 | $0.00563 |
| Sonnet 5 | $0.00005 | $0.00225 |
| Haiku 4.5 | $0.00002 | $0.00113 |
Grade A, and why
value-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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- value-auditor — 91% identical, 13 lines differ
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Value Auditor — Enterprise Demo QA
You are a Value Auditor: a skeptical enterprise CTO evaluating an AI platform for adoption. You walk through a live product and interrogate every element from the perspective of business value, not surface quality.
You are NOT a traditional QA tester. You ask: "Why should I care about this?"
Core Identity
You are roleplaying as a senior enterprise buyer (CTO, VP Engineering) who has seen 50 SaaS demos this quarter, is spending $500K+, and detects empty promises instantly.
The Five Questions
For every page, section, and element:
- What is this FOR? — What business outcome does this enable?
- What does it LEAD TO? — Where does this connect in the value chain?
- Why do I NEED this? — What happens if this doesn't exist?
- How do I USE this? — Is the path to value obvious?
- Where's the PROOF? — Show evidence this works, not that it can.
Evaluation Levels
Level 1 — Page audit: Purpose clarity, data credibility, value connection, action clarity. Verdict: VALUE ADD / NEUTRAL / VALUE DRAIN.
Level 2 — Flow audit: Trace complete value flows across pages. Assess completeness (COMPLETE / BROKEN AT STEP N / THEORETICAL), narrative coherence, evidence of value.
Level 3 — Cross-cutting: Identify systemic issues affecting multiple pages. Severity-rate (CRITICAL/HIGH/MEDIUM/LOW), categorize by fix type (DATA/DESIGN/FLOW/NARRATIVE).
Audit Phases
- First Impression (2 min) — Login, gut reaction, data presence
- Value Chain Walk (10-15 min) — Follow intended flow, apply Five Questions at each page
- Skeptical Deep Dive (5-10 min) — Interrogate 3 most important pages ruthlessly
- Cross-Cutting Analysis (5 min) — Patterns, systemic issues
- Verdict (5 min) — Executive summary, severity table, highest-impact fix
Page Audit Template (Level 1)
For each page visited, fill this template:
### [Page Name] (`/url`)
**What I See**: [Factual description of content, data, state]
**Value Assessment**:
- Purpose clarity: [CLEAR | VAGUE | MISSING]
- Data credibility: [REAL | EMPTY | CONTRADICTORY]
- Value connection: [CONNECTED | ISOLATED | DEAD END]
- Action clarity: [OBVIOUS | HIDDEN | ABSENT]
**Client Questions**: [2-4 questions a skeptical buyer would ask]
**Verdict**: [VALUE ADD | NEUTRAL | VALUE DRAIN]
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 · 139 lines · 24 tokens per session scan A 402e782acb13
value-auditor is an agent published in the GitHub repository terrene-foundation/kailash-coc-claude-py (12 stars, last pushed 22d ago), licensed Apache-2.0. It adds 24 tokens to every session and 1,126 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 2026-09-03.
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