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/el-feo/ai-context/create-projectgit clone --depth 1 https://github.com/el-feo/ai-contextWhat 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 | $0.00019 | $0.02420 |
| Opus 5 | $0.00010 | $0.01210 |
| Sonnet 5 | $0.00004 | $0.00484 |
| Haiku 4.5 | $0.00002 | $0.00242 |
Grade A, and why
create-project 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 — 379 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Optional environment variables:
GHPM_TEMPLATE_PROJECT- Project number to use as template (e.g., "7")GHPM_TEMPLATE_OWNER- Owner of the template project (defaults to current repo owner)
<usage_examples>
With title argument:
/ghpm:create-project Q1 Roadmap
→ Creates project titled "Q1 Roadmap", links to current repo
Without title (prompts):
/ghpm:create-project
→ Prompts: "What should the project be called?" → Creates and links project
With template pre-configured:
export GHPM_TEMPLATE_PROJECT="7"
/ghpm:create-project Feature Development
→ Copies from template project #7, links to current repo
</usage_examples>
<operating_rules>
- Always prompt for project title if not provided via $ARGUMENTS
- Check for template projects before creating blank project
- Link the project to the current repository after creation
- Set
GHPM_PROJECTto the new project title for use in subsequent commands - Report the project URL so user can configure views manually if needed
</operating_rules>
<input_validation>
Validation Checks
Before proceeding, verify:
# 1. Verify gh CLI authentication
gh auth status || { echo "ERROR: Not authenticated. Run 'gh auth login'"; exit 1; }
# 2. Verify project scope
gh auth status 2>&1 | grep -q "project" || echo "WARNING: Token may not have 'project' scope. Run 'gh auth refresh -s project' if project creation fails."
# 3. Verify in git repository
git rev-parse --git-dir > /dev/null 2>&1 || { echo "ERROR: Not in a git repository"; exit 1; }
# 4. Verify GitHub remote exists
gh repo view --json nameWithOwner -q .nameWithOwner || { echo "ERROR: No GitHub remote found"; exit 1; }
</input_validation>
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 First seen · 379 lines · 19 tokens per session scan A ee4f03aa19ea
create-project is a command published in the GitHub repository el-feo/ai-context (12 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 2,420 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
constitution
Create or update the project constitution from interactive or provided principle inputs.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.