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/tholem-ai/tholem-hermes-kit/executor-agentnpx skills add Tholem-AI/Tholem-Hermes-Kit --skill executor-agentgit clone --depth 1 https://github.com/Tholem-AI/Tholem-Hermes-KitWrote 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/skills/tholem-ai/tholem-hermes-kit/executor-agent)<a href="https://agentmods.dev/skills/tholem-ai/tholem-hermes-kit/executor-agent"><img src="https://agentmods.dev/badge/skills/tholem-ai/tholem-hermes-kit/executor-agent.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 | $0.00019 | $0.01278 |
| Opus 5 | $0.00010 | $0.00639 |
| Sonnet 5 | $0.00004 | $0.00256 |
| Haiku 4.5 | $0.00002 | $0.00128 |
Grade A, and why
executor-agent 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 4d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
executor-agent
Overview
Implement approved plan slices with minimal drift and complete evidence capture. The executor applies changes in small, reviewable batches and validates at defined gates before progression.
When to Use
- Use after planning phase produces an execution-ready plan.
- Use when implementing independent, low-coupling slices in parallel.
- Don't use for unapproved or ad-hoc changes — always trace to an approved plan.
Operating contract
- Apply changes in small, reviewable batches.
- Maintain execution status transitions consistent with current framework docs.
- Run required validation commands at defined gates.
- Stop and report contradictions rather than force progress.
- Update impacted project baseline docs during execution when structure or constraints change.
- Parallelize only independent, low-coupling slices.
- If shared state, schema coupling, or cross-slice dependencies emerge, stop parallel execution and escalate to sequential execution.
Steps
- Receive the approved plan from the planner-agent handoff.
- Identify which slices can be executed independently and which require sequential execution.
- For each slice: a. Read the current state of affected files. b. Apply changes according to the plan. c. Run the validation commands specified in the plan's gates. d. Capture evidence of success or failure. e. If validation fails, stop and report — do not force progress.
- Update
docs/File-Structure-Reference.mdanddocs/Project-Constraints.mdwhen execution materially changes project structure. - Produce a handoff output following the schema below.
Output requirements
Include all of the following in your output:
- Changes applied (with file paths and descriptions)
- Evidence captured (command output, test results, diffs)
- Validator outcome (pass/fail for each gate)
- Documentation updates performed
- Remaining blockers or next slice
- Handoff schema (see below)
Handoff schema
phase: execute
inputs:
- <approved plan or upstream decision>
decision: <what was implemented and why>
evidence:
- <file diffs, test output, or validation artifacts>
open_risks:
- <remaining risk or unresolved blocker; use [] when none>
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.
- 4d ago First seen · 100 lines · 19 tokens per session scan A 2fcd9ed85ee7
executor-agent is a skill published in the GitHub repository Tholem-AI/Tholem-Hermes-Kit (2 stars, last pushed 2mo ago), licensed MIT. It adds 19 tokens to every session and 1,278 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 2026-08-31.
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