durable-executor

durable-executor is a skill for Claude Code, Codex from modiqo/skillspec. It costs 175 tokens per session (3,719 once invoked), scanned A, original, Apache-2.0.

A general workflow for tool-based tasks such as running commands, inspecting results, browsing, calling services, or creating files. It records actions, evidence, and outcomes so work can be resumed and checked.

In plain words
What is it for?
Use it as the first step for traced command-line, browser, API, local-process, or artifact-generation tasks.
Why use it?
It reduces lost context and makes multi-step automation easier to audit and continue.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: $skill-name invocation.

Good fit Use it as the first step for traced command-line, browser, API, local-process, or artifact-generation tasks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/modiqo/skillspec/durable-executor
Install

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.

Any agent
npx skills add modiqo/skillspec --skill durable-executor
Clone the repo
git clone --depth 1 https://github.com/modiqo/skillspec

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for durable-executor

README.md
[![agentmods](https://agentmods.dev/badge/skills/modiqo/skillspec/durable-executor/github.svg)](https://agentmods.dev/skills/modiqo/skillspec/durable-executor)
Your own site
<a href="https://agentmods.dev/skills/modiqo/skillspec/durable-executor"><img src="https://agentmods.dev/badge/skills/modiqo/skillspec/durable-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.

agentmods 80×15 button for durable-executor

Your own site · 80×15
<a href="https://agentmods.dev/skills/modiqo/skillspec/durable-executor"><img src="https://agentmods.dev/badge/skills/modiqo/skillspec/durable-executor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 175 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,719 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00175 $0.03719
Opus 5.5 $0.00070 $0.01488
Sonnet 5.5 $0.00035 $0.00744
Haiku 4.5 $0.00017 $0.00372

Measured 1mo ago against content hash c6e9c90b1b10, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

durable-executor 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 1mo 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.

examples/durable-executor/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

durable executor

Universal durable-work meta-router and first-hop execution substrate for any tool-backed CLI/API/shell/browser/provider/local-process/artifact work that should be traced, aligned, gated, or reusable.

Entry Gate

  • Before any task action, run skillspec plan ./skill.spec.yml --input='<user task>' --trace-dir "${PWD}/.skillspec/traces", preserve the printed run_dir, then run skillspec act ./skill.spec.yml --input='<user task>' --run <run_dir> --phase <phase-id>, and read the ordered phase plan plus current-route action checklist.
  • Until that plan and checklist are read, the only allowed actions are loading this SKILL.md, loading the colocated skill.spec.yml, and running SkillSpec navigation or decision commands for this spec.
  • The selected route and matched rules in the checklist override lower-level skill defaults. If a tool is forbidden, stop and report that the SkillSpec blocks it.
  • After each phase action, record structured progress in <run_dir>/execution.jsonl and run skillspec progress show ./skill.spec.yml --run <run_dir> before moving to the next phase.
  • This SkillSpec supersedes overlapping lower-level skill instructions: browser:browser.
  • Forbidden before the decision: raw_repo_search, direct_file_read, direct_cli_without_rote_exec, direct_shell_command_without_rote_exec, direct_harness_cli_call_without_rote_exec, browser_browser_skill, node_repl.

This skill is a thin loader for the colocated skill.spec.yml. The spec is the source of truth for routes, rules, dependencies, imports, resources, recipes, tests, and trace requirements. Do not treat the spec as background prose; treat it as the execution contract for this task.

Runtime Contract

  1. Load ./skill.spec.yml from this skill folder before taking task actions.
  2. When the skillspec CLI is available and the spec shape is unfamiliar, run skillspec sensemake ./skill.spec.yml --view index to learn the section roles, counts, query handles, and navigation grammar without dumping the full YAML.
  3. Then create the ordered phase plan and current-route action checklist:

Read the full file on GitHub · 148 lines

Files

What ships with it

2 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.

Changes

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.

  1. 1mo ago First seen · 148 lines · 175 tokens per session scan A c6e9c90b1b10

Subscribe to this mod's changes

durable-executor is a skill published in the GitHub repository modiqo/skillspec (707 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 175 tokens to every session and 3,719 once invoked, about $0.0007 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

uig

Build a User Input Grid (UIG) for an AI product or feature, evaluate existing eval datasets against it, and propose new inputs to fill coverage gaps. Use this skill whenever someone asks to design an eval framework, audit a test set, build a "user input grid", "synthetic query matrix" or "SQM", improve dataset…

Calibre-Labs/reforge-ai-evals · 146 tokens

eval-code

Write deterministic, code-based evaluator functions for an AI product. Use this skill whenever you need to write evaluators that check structural properties of AI outputs (format, count, presence, schema compliance) without calling another LLM. Also use when auditing existing code-based evaluators for brittleness…

Calibre-Labs/reforge-ai-evals · 68 tokens

eval-llm-judge

Write LLM-as-judge evaluator prompts for AI products. Use this skill whenever you need to evaluate semantic properties of AI outputs that cannot be checked programmatically — output quality, tone, factual accuracy, edge case handling, reference alignment. Also use when auditing existing judge prompts for bias…

Calibre-Labs/reforge-ai-evals · 92 tokens

llm-align

Analyze alignment between LLM judge scores and human labels in an eval dataset. Use this skill whenever someone wants to evaluate how well an LLM judge agrees with human reviewers, calculate TPR/TNR, investigate disagreements, or improve a scorer prompt. Trigger on phrases like: "calculate TPR/TNR", "judge alignment"…

Calibre-Labs/reforge-ai-evals · 125 tokens

ticket-to-eval

Strip PII from a customer support ticket or eval trace and convert it into eval dataset rows. Produces two outputs: a regression dataset row (close to the original input, tagged with failuremode) and a generalized dataset row (abstracted for broader coverage). Works with local CSV files or any eval platform. Use this…

Calibre-Labs/reforge-ai-evals · 127 tokens

eval-rubric

Write or update the eval rubric for an AI agent or AI feature: the pass/fail criteria that define good behavior, in four groups (outcome, trajectory, governance, experience), plus the release thresholds that belong in the PRD. Use this skill whenever someone asks to "write an eval rubric", "define what good looks…

Calibre-Labs/reforge-ai-evals · 148 tokens