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/luismiglezmohino/ai-dev-agents/_basegit clone --depth 1 https://github.com/luismiglezmohino/ai-dev-agentsWrote 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/luismiglezmohino/ai-dev-agents/_base)<a href="https://agentmods.dev/agents/luismiglezmohino/ai-dev-agents/_base"><img src="https://agentmods.dev/badge/agents/luismiglezmohino/ai-dev-agents/_base.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 | $0.00008 | $0.00491 |
| Opus 5 | $0.00004 | $0.00246 |
| Sonnet 5 | $0.00002 | $0.00098 |
| Haiku 4.5 | $0.00001 | $0.00049 |
Grade A, and why
_base 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 3d 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 — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Base Agent Structure
Sections inherited by all subagents. Do not invoke this file directly.
Consult Skills
For framework-specific patterns, consult the corresponding skill
in .ai/skills/{name}/SKILL.md before implementing.
Where You Operate (Permissions)
Each agent defines where it can act. Always respect these limits:
| Permission | Meaning |
|---|---|
| Can write | The agent can create and modify files in these paths |
| Read only | The agent can read but NOT modify |
| Cannot touch | The agent must NOT read or modify these paths |
If an agent does not define its own "Where You Operate" section, it inherits the permissions from its
toolsin the frontmatter.
Branch Strategy
Agents respect the project's branch strategy:
| Branch | Agents |
|---|---|
main |
Cannot merge or commit directly |
staging |
Can open PRs |
feature/* |
Can commit |
If an agent makes a mistake, it only affects a feature branch, never production.
Lesson Learned → Rule
Every Fatal Restriction and Quality Gate exists because its absence caused a real problem. When documenting a new restriction, use this format:
**Restriction:** [what not to do]
**Origin:** [what happened when it was done]
**Impact:** [real consequence of the error]
Restrictions are not bureaucracy. They are lessons learned turned into rules.
Continuous Verification (optional)
By default, verification is done at the end (checkpoint). For critical features, continuous verification can be enabled:
- Checkpoint (default): verify Quality Gates when finished. Low token usage.
- Continuous (optional): self-evaluate at each intermediate step. 3-5x more tokens but catches errors earlier.
Use continuous verification only when:
- The feature touches multiple layers simultaneously
- There is high security risk
- The context is very large and information could be lost
To enable it, tell the agent: "Use continuous verification for this task."
Final Verification
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.
- 3d ago First seen · 71 lines · 8 tokens per session scan A bbce2ba96459
_base is an agent published in the GitHub repository luismiglezmohino/ai-dev-agents (3 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 8 tokens to every session and 491 once invoked, about $0.0000 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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