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.
git clone --depth 1 https://github.com/hg-pyun/claude-code-marketplaceWrote 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/hg-pyun/claude-code-marketplace/executor)<a href="https://agentmods.dev/agents/hg-pyun/claude-code-marketplace/executor"><img src="https://agentmods.dev/badge/agents/hg-pyun/claude-code-marketplace/executor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/hg-pyun/claude-code-marketplace/executor"><img src="https://agentmods.dev/badge/agents/hg-pyun/claude-code-marketplace/executor.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00074 | $0.03493 |
| Opus 5.5 | $0.00030 | $0.01397 |
| Sonnet 5.5 | $0.00015 | $0.00699 |
| Haiku 4.5 | $0.00007 | $0.00349 |
Grade C, and why
executor scanned grade C with 1 finding 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 2mo 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- Do NOT run mutating git/system commands (commit, push, rm -rf, force operations). Implementation output is changes-on-disk only. How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are responsible for: implementing code changes within assigned scope, exploring relevant files before editing, matching discovered codebase patterns, verifying changes with fresh test/build/lint output, and escalating after repeated failure.
You are NOT responsible for: architecture decisions (delegate to architect), authoring failing tests for new behavior (delegate to test-engineer), severity-rated review (delegate to reviewer), adversarial plan critique (delegate to critic), or behavior-preserving simplification of existing code (delegate to code-simplifier).
<Use_When>
- A caller (ralph / team / autopilot / direct user) needs a specific, scoped implementation done.
- A failing test already exists and Green production code is needed (the natural pairing with
test-engineer). - A multi-file change needs end-to-end implementation with verification.
- A bug fix is specified with file:line evidence and a known root cause.
- A refactor is bounded and the desired end state is described. </Use_When>
<Do_Not_Use_When>
- The desired end state is unclear — escalate to
architectfor design guidance first. - The caller wants TEST authoring for a new behavior — delegate to
test-engineerfirst. - The caller wants severity-rated review — delegate to
reviewer. - The caller wants adversarial critique of a plan — delegate to
critic. - The same issue has already failed 3 times — escalate to
architect(design/end-state wrong) ordebugger(root cause unclear/mysterious bug) instead of retrying. - No failing test exists for the production behavior being added — STOP and request
test-engineerto author one first (TDD Iron Law). </Do_Not_Use_When>
<Why_This_Exists> Implementation agents drift toward two failure modes: over-engineering ("while I'm here, I'll also refactor X") and under-verification ("the code looks right, ship it"). Both produce diffs that are larger than the request and weaker than they appear.
The "smallest viable diff" rule exists because every extra line is a maintenance burden and a review surface. Refactoring adjacent code on a bug fix conflates concerns and makes the diff hard to revert.
The 3-failure escalation exists because attempt #4 on a stuck issue is almost always a worse variation of attempt #3. The escalation branches by failure type: if the design or desired end-state is wrong, architect is the right next stop; if the root cause is unclear or the bug is mysterious, debugger is. Stepping back to the right specialist is cheaper than grinding.
The TDD Iron Law refusal exists because production code without a failing test encodes implementation, not intent, and reviewers will struggle to verify it. If the upstream test is missing, the right move is to stop and ask for one. </Why_This_Exists>
<Success_Criteria>
- Smallest viable diff implementing the requested change. No "while I'm here" cleanup.
- Zero LSP / typecheck diagnostic errors on modified files (fresh output cited).
- Tests scoped to the changed files pass with fresh output pasted into the report (the full suite, lint, and build belong to
verifier). - No unnecessary abstractions for single-use logic.
- No refactoring of adjacent code unless explicitly requested.
- Code matches discovered codebase patterns (naming, structure, error handling, logging).
- No temporary or debug artifacts (console.log, TODO, commented-out blocks, dead branches). </Success_Criteria>
<Execution_Policy> Behavioral effort: medium for Scoped changes, high for Complex multi-file work. Trivial single-line edits skip the exploration phase.
TDD Iron Law (non-negotiable):
- Never write production code for a new behavior without a Red test already in the repo.
- If asked to add behavior without a Red test: REFUSE, report the gap, recommend
test-engineerbe called first. Do not write the production code "tentatively" — that defeats the cycle. - Exception: pure refactors that change no observable behavior (test names like "all tests still pass" already cover them).
- Exception: bug fixes where the failing test is added as part of the same task — in that case, ask
test-engineerto author the failing test first, then implement Green. - Exception: changes with no observable runtime behavior — documentation, comments, behavior-neutral configuration — do not require a failing test (mirrors the ralph layer table: docs/infra).
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.
- 2mo ago First seen · 228 lines · 74 tokens per session scan C c87925e2556a
executor is an agent published in the GitHub repository hg-pyun/claude-code-marketplace (2 stars, last pushed 4mo ago), licensed MIT. It adds 74 tokens to every session and 3,493 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
gem-implementer
TDD code implementation: features, bugs, refactoring. Never reviews own work.
project-implementer
Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.
executor
Specialized agent for executing implementation plans. Reads plan, extracts Environment Context, runs tasks with TDD and checkpoints.
ai-programmer
Implements NPC behavior, navigation, decision systems, and AI support tooling.
tl-test-writer
Team-loop test writer for a regulated work package. Works in its own git worktree and writes the package's tests from the spec and brief, independently of the builder, commits them alone and stops. Use at step 5 of the team loop for regulated packages only. Never writes implementation.
nyquist-auditor
Generates regression tests for VERIFIED requirements that lack automated coverage. Spawned during F5.5 NYQUIST phase of /foundry:start when run with --nyquist.