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/synaptiai/agent-capability-standard/executenpx skills add synaptiai/agent-capability-standard --skill executegit clone --depth 1 https://github.com/synaptiai/agent-capability-standardWhat 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 | $0.00033 | $0.01729 |
| Opus 5 | $0.00016 | $0.00864 |
| Sonnet 5 | $0.00007 | $0.00346 |
| Haiku 4.5 | $0.00003 | $0.00173 |
Grade A, and why
execute 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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent
Execute code or commands in a controlled manner, capturing output for verification. Unlike mutate, this capability is for operations that don't permanently change state (tests, queries, builds, analysis tools).
Success criteria:
- Code/command executed successfully
- Output captured completely
- Exit code recorded
- Errors properly surfaced
Compatible schemas:
schemas/output_schema.yaml
Inputs
| Parameter | Required | Type | Description |
|---|---|---|---|
code |
Yes | string | Code or command to execute |
language |
No | string | Programming language or shell (bash, python, ruby, etc.) |
timeout |
No | string | Maximum execution time (default: "60s") |
environment |
No | object | Environment variables to set |
Procedure
-
Validate execution request: Ensure code is safe to run
- Check for mutation operations (if found, suggest
mutateinstead) - Verify timeout is reasonable
- Confirm execution environment
- Check for mutation operations (if found, suggest
-
Prepare environment: Set up execution context
- Set required environment variables
- Ensure dependencies are available
- Create isolated context if needed
-
Execute code: Run the code/command
- Capture stdout and stderr
- Record start time
- Monitor for timeout
-
Capture results: Collect execution output
- Record exit code
- Capture complete stdout
- Capture complete stderr
- Note execution duration
-
Analyze output: Interpret results
- Identify success/failure from exit code
- Extract key information from output
- Note warnings or anomalies
-
Return results: Structure output for consumption
- Include all captured data
- Provide execution summary
- Reference evidence for assertions
Output Contract
Return a structured object:
result:
success: boolean # Exit code == 0
exit_code: integer # Process exit code
stdout: string # Standard output
stderr: string # Standard error
duration: string # Execution time
execution:
command: string # What was executed
language: string # Execution environment
started_at: string # ISO timestamp
completed_at: string # ISO timestamp
analysis:
summary: string # One-line result summary
warnings: array[string] # Notable warnings
errors: array[string] # Extracted error messages
evidence_anchors: ["command:output"]
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 258 lines · 33 tokens per session scan A 0ad6796f6d03
execute is a skill published in the GitHub repository synaptiai/agent-capability-standard (4 stars, last pushed 2d ago), licensed Apache-2.0. It adds 33 tokens to every session and 1,729 once invoked, about $0.0002 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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