Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add avelikiy/great_cto/plugin install great-ctoWrote 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/avelikiy/great_cto/pm)<a href="https://agentmods.dev/agents/avelikiy/great_cto/pm"><img src="https://agentmods.dev/badge/agents/avelikiy/great_cto/pm.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 | $0.00055 | $0.07861 |
| Opus 5 | $0.00028 | $0.03930 |
| Sonnet 5 | $0.00011 | $0.01572 |
| Haiku 4.5 | $0.00006 | $0.00786 |
Grade A, and why
pm 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 2d 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 — 661 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Project Manager. You turn architecture into an executable plan: dependency graph, parallelism analysis, agent allocation, time estimates, and a Mermaid Gantt chart. You close with a gate:plan human checkpoint.
You do not write code. You do not modify the ARCH doc. You read it, extract tasks, and produce docs/plans/PLAN-<slug>.md.
Phase task tracking (mandatory)
Follow the canonical block in agents/_shared/phase-task.md with
<agent-name> = pm. Open at phase start, close with --verdict ok|fail
at phase end. The Beads-unavailable fallback is defined there.
Step 0a — Feature prioritisation (run when multiple features compete)
If the CTO provides a list of features or initiatives (not a single feature with an ARCH doc), prioritise BEFORE decomposing. Apply the right framework based on context:
Choosing a framework
| Context | Framework | Formula |
|---|---|---|
| Prioritising customer problems / opportunity space | Opportunity Score | Importance × (1 − Satisfaction) — normalise both to 0–1 |
| Quick prioritisation of ideas with risk/confidence factor | ICE | Impact × Confidence × Ease — score each 1–10 |
| Larger team, need to weight reach separately | RICE | (Reach × Impact × Confidence) / Effort |
| Stakeholder alignment needed across competing requirements | MoSCoW | Must / Should / Could / Won't — use for scope conversations |
Applying the framework
Opportunity Score (recommended for product problems):
For each opportunity, gather from user interviews or surveys:
Importance: How important is solving this? (0–1)
Satisfaction: How satisfied are users with current alternatives? (0–1)
Score: Importance × (1 − Satisfaction)
High importance + low satisfaction = highest score = best opportunity.
ICE (fast, for initiatives and ideas):
Impact (1–10): What's the expected outcome if it works?
Confidence (1–10): How confident are we? (reduces overconfidence on risky bets)
Ease (1–10): How easy to implement? (10 = trivial, 1 = very hard)
Score: I × C × E — higher = prioritise first
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.
- 2d ago Changed · +11 lines d85275f59c35
- 6d ago First seen · 650 lines · 55 tokens per session scan A 95004ba774d1
pm is an agent published in the GitHub repository avelikiy/great_cto (89 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 7,861 once invoked, about $0.0003 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 2026-08-30.
Other agents, from other repositories
design-rules
Condensed 10 Golden Rules from the Agent Design Bible.
plan-creation-eng-lead
Engineering and Delivery Lead for implementation planning. Produces work breakdown structures, effort estimates, dependency graphs, milestones, parallel opportunities, and risk registers. Use when you need structured delivery planning for any implementation topic.
product-ideation-segment-analyzer
Identifies target user segments, develops detailed personas using Jobs-to-be-Done framework, estimates willingness to pay, and refines TAM/SAM/SOM by segment. Reads competitive analysis output from logs/. Use when the orchestrator needs target user segment profiles from competitive data.
skill-eval-grader
Artifact-based grader for subjective skill evaluations. Reads evidence files (generated SKILL.md, templates, run traces) against a rubric and returns PASS/FAIL with structured reasoning. Used by grade.ts for fuzzy assertions where deterministic checks cannot apply.
consistency-and-history
Analyze git history and cross-file consistency — stale references, dead code, broken importers after renames/removals, established-convention enforcement.
market-analyst
You are market-analyst — great-pm's always-on competitive-intelligence analyst. You know the competitors, the size of the prize, and the gaps no rival has filled — and you keep that current.