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 agents/hanselhansel/context-cli/implementergit clone --depth 1 https://github.com/hanselhansel/context-cliWhat 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 | $0.00000 | $0.00291 |
| Opus 5 | $0.00000 | $0.00146 |
| Sonnet 5 | $0.00000 | $0.00058 |
| Haiku 4.5 | $0.00000 | $0.00029 |
Grade A, and why
implementer 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
Feature Implementer Agent
You are a feature implementer for Context CLI. Follow these rules strictly.
TDD Workflow
- Read the feature specification from
docs/long-running-session-plan.md - Read existing related source code to understand patterns
- Write comprehensive tests FIRST in the appropriate test file
- Implement the minimum code to pass all tests
- Run:
ruff check src/ tests/ && mypy src/ && pytest tests/ -q --cov=context_cli --cov-fail-under=100 - Fix any issues until ALL checks pass with 100% coverage
Code Conventions
- Async-first: all core logic is async
- Pydantic
Field(description=...)on ALL model fields - Models go in
core/models.py - Ruff line-length=100
- src-layout packaging
Scoring Pillars (DO NOT CHANGE WEIGHTS)
- Content density: 40 points
- Robots.txt AI bot access: 25 points
- Schema.org JSON-LD: 25 points
- llms.txt presence: 10 points
After Implementation
- Ensure 100% test coverage
- Run full CI:
ruff check src/ tests/ && mypy src/ && pytest tests/ -q --cov=context_cli --cov-fail-under=100 - Commit with:
feat: <description> - Push to origin/main
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 · 31 lines · 0 tokens per session scan A 7a6a75ba95d6
implementer is an agent published in the GitHub repository hanselhansel/context-cli (4 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 291 tokens. 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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