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 igor-elbert/ctobot --skill cto-challenge-stress-testgit clone --depth 1 https://github.com/igor-elbert/ctobotWrote 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/igor-elbert/ctobot/cto-challenge-stress-test)<a href="https://agentmods.dev/skills/igor-elbert/ctobot/cto-challenge-stress-test"><img src="https://agentmods.dev/badge/skills/igor-elbert/ctobot/cto-challenge-stress-test/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/igor-elbert/ctobot/cto-challenge-stress-test"><img src="https://agentmods.dev/badge/skills/igor-elbert/ctobot/cto-challenge-stress-test.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 | $0.00049 | $0.01665 |
| Opus 5 | $0.00024 | $0.00833 |
| Sonnet 5 | $0.00010 | $0.00333 |
| Haiku 4.5 | $0.00005 | $0.00167 |
Grade A, and why
cto-challenge-stress-test 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 10d 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CTO Challenge Stress Test
Use this skill when the user wants to evaluate an AI CTO (or a CTO operating manual) against a list of real-world CTO challenges.
Trigger conditions
- User asks to stress-test a CTO approach, rubric, or agent against common CTO problems.
- User wants challenge-by-challenge comparison against proposed solutions.
- User wants a compact evaluation of how well an agentic CTO would handle inherited systems, delivery, risk, scale, security, talent, governance, or business alignment.
Core output shape
Prefer a compact table or numbered list with one row per challenge. For each challenge, include:
- Challenge name
- AI CTO response
- Proposed/expected solution from the governing manual or source context
- Quality rating: strong / partial / weak
- One short reason for the rating
Keep the format concise and easy to scan. Default to the user's preferred cheat-sheet style.
If the exact historic question bank is not available in the live context, explicitly say that and reconstruct an equivalent class-level set rather than pretending to remember the exact wording.
Operating steps
- Identify the source challenge list.
- If the user gives a specific article or source, extract the challenge titles first and ignore marketing copy, ads, and “how to buy” sections.
- For question-bank articles, pull the actual prompts verbatim when possible, then normalize duplicates and near-duplicates.
- If the source is a challenge article, prefer one challenge per row; if it is a question list, cluster near-identical questions into a single test family.
- If not, generate a representative class-level list covering strategy, delivery, risk, talent, cost, governance, security, data, and scaling.
- If the primary source is blocked or partially inaccessible (for example, Reddit), use alternate retrieval paths first; if the exact thread text still cannot be recovered, answer at the theme level and say so explicitly.
- Ground the evaluation in the governing operating manual or attached context.
- Use the company CTO principles as the baseline.
- Do not invent solutions when the manual already states a preferred response.
- If the user asked to ignore a domain (for example, politics), exclude it from the evaluation rather than discussing it.
- If the source article mixes challenges with vendor advice or product pitches, strip the pitch first and evaluate only the underlying CTO problem.
- If the source review reveals durable gaps in the company guide, convert them into a short delta list and patch the guide artifacts together when appropriate.
- Normalize and dedupe question sources before scoring.
- Prefer one canonical question per theme when two prompts test the same CTO behavior.
- Cluster exact duplicates and near-duplicates into one row unless the user explicitly wants every source question preserved.
- If the exact historic question bank is unavailable in live context, say so and reconstruct an equivalent theme-level set rather than pretending exact recall.
- Maintain a canonical theme bank in a reference file when multiple sources converge on the same CTO behaviors.
- Score each response.
- Strong: directly matches the manual and answers the practical issue.
- Partial: directionally correct, but missing a key operational step, mitigation, ownership, or verification.
- Weak: misses the root issue, over-indexes on theory, or avoids the decision.
- Highlight systemic gaps only after the row-by-row evaluation.
- Examples: first-90-days onboarding, change management, hiring cadence, or executive translation.
- When evaluating many questions, batch them in groups of 3 or fewer if using delegation tools.
- This avoids tool concurrency limits and keeps the scoring output easy to compare.
What ships with it
8 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.
- references/cto-leadership-2026-scan.md 2.4 KB
- references/external-cto-traits-enrichment.md 1.4 KB
- references/session-2026-04-29-cto-challenge-stress-test.md 1.5 KB
- references/session-2026-04-29-cto-guidance-sync.md 1.2 KB
- references/session-2026-04-29-cto-question-bank.md 3.1 KB
- references/session-2026-04-29-runn-cto-challenge-filter.md 1.0 KB
- references/session-2026-04-29-runn-cto-challenge-results.md 1.2 KB
- references/session-2026-04-29-source-access.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.
- 10d ago First seen · 112 lines · 49 tokens per session scan A bceb6f09e556
cto-challenge-stress-test is a skill published in the GitHub repository igor-elbert/ctobot (5 stars, last pushed 1mo ago), licensed MIT. It adds 49 tokens to every session and 1,665 once invoked, about $0.0002 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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