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 agentmods add commands/fusengine/agents/epctgit clone --depth 1 https://github.com/fusengine/agentsWhat 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 | $0.00020 | $0.00478 |
| Opus 5 | $0.00010 | $0.00239 |
| Sonnet 5 | $0.00004 | $0.00096 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
epct 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 yesterday.
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.
What it actually says
EPCT: Explore-Plan-Code-Test
Execute systematic development methodology:
Phase 1: EXPLORE
Use explore-codebase to understand relevant parts of the system
Goals:
- Identify where changes need to be made
- Understand existing patterns and conventions
- Map dependencies and impacts
- Locate relevant tests
Deliverable: Exploration summary with affected components
Phase 2: PLAN
Use research-expert to validate approach against best practices
Goals:
- Design solution following project patterns
- Identify edge cases and error handling
- Plan test strategy
- Estimate impact and complexity
Deliverable: Implementation plan with step-by-step approach
Plan Format:
### Implementation Steps
1. [Component A]: [Changes needed]
2. [Component B]: [Changes needed]
3. [Tests]: [Test cases to add]
### Edge Cases
- [Case 1]: [Handling approach]
- [Case 2]: [Handling approach]
### Testing Strategy
- Unit tests: [What to test]
- Integration tests: [Scenarios]
- Manual testing: [Steps]
Phase 3: CODE
Implement the solution:
- Follow the plan step-by-step
- Maintain existing code style and patterns
- Add inline documentation for complex logic
- Create/update tests alongside code
Phase 4: TEST
Comprehensive validation:
-
Run Linters:
bun run lint eslint . prettier --check . -
Run Tests:
bun test pytest -
Manual Testing:
- Execute test plan scenarios
- Verify edge cases
- Check error handling
-
Final Verification:
Use sniper to ensure 0 linter errors
Deliverable: Tested, validated code ready for commit
Arguments:
- $ARGUMENTS specifies the feature/task to implement
Example Usage:
/epct Add user profile editing→ Full EPCT for feature/epct Fix authentication bug→ EPCT for bug fix
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.
- yesterday First seen · 90 lines · 20 tokens per session scan A 60b13718065d
epct is a command published in the GitHub repository fusengine/agents (25 stars, last pushed 28d ago), licensed MIT. It adds 20 tokens to every session and 478 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 2026-08-30.
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