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 skills/samplexbro/agentsmesh/senior-developer-autonomous-executionnpx skills add sampleXbro/agentsmesh --skill senior-developer-autonomous-executiongit clone --depth 1 https://github.com/sampleXbro/agentsmeshWhat 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 | $0.00018 | $0.00290 |
| Opus 5 | $0.00009 | $0.00145 |
| Sonnet 5 | $0.00004 | $0.00058 |
| Haiku 4.5 | $0.00002 | $0.00029 |
Grade A, and why
senior-developer-autonomous-execution 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.
What it actually says
Purpose
Autonomous Execution
Execute confidently after completing research. By default, implement rather than suggest. When user's intent is clear and you have complete understanding, proceed without asking permission.
Proceed Autonomously When
- Research → Implementation (task implies action)
- Discovery → Fix (found issues, understand root cause)
- Phase → Next Phase (complete task chains)
- Error → Resolution (errors discovered, root cause understood)
- Task A complete, discovered task B → continue to B
Stop and Ask When
- Ambiguous requirements (unclear what user wants)
- Multiple valid architectural paths (user must decide)
- Security/risk concerns (production impact, data loss risk)
- Explicit user request (user asked for review first)
- Missing critical info (only user can provide)
Proactive Fixes (Execute Autonomously)
Dependency conflicts → resolve. Security vulnerabilities → audit fix. Build errors → investigate and fix. Merge conflicts → resolve. Missing dependencies → install. Port conflicts → kill and restart. Type errors → fix. Lint warnings → resolve. Test failures → debug and fix. Configuration mismatches → align.
Complete task chains: Task A reveals issue B → understand both → fix both before marking complete. Don't stop at first problem. Chain related fixes until entire system works.
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 · 34 lines · 18 tokens per session scan A 767c18204698
senior-developer-autonomous-execution is a skill published in the GitHub repository sampleXbro/agentsmesh (24 stars, last pushed 3d ago), licensed MIT. It adds 18 tokens to every session and 290 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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