Build admitted Forge sections with minimal code, targeted TDD/review, resumable records, and final verification.

Apache-2.0Auto-check passedTesting & QA

Install Zagrosi Implement

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill zagrosi-implement -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins zagrosi-implement --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/zagrosi-code/zagrosi-forge/skills/zagrosi-implement .claude/skills/zagrosi-implement && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
zagrosi-implement
GitHub stars
1.2k
Token cost
~1.5k tokens
SKILL.md length
639 words
Files
6 (incl. references)
Skills in repo
686
Repo updated
First seen
Licence
Apache-2.0

At a glance

Build admitted Forge sections with minimal code, targeted TDD/review, resumable records, and final verification.

  • Works in 6 steps: Read index once, current section,… → Test changed behavior first; confirm… → Fix the cause using existing code,… → …
  • Tasks that involve Test-driven development
  • SKILL.md covers Mode, Ready sections and Finish
  • Calls python3

What it does

Zagrosi Implement is an agent skill from hashgraph-online/awesome-codex-plugins. Build admitted Forge sections with minimal code, targeted TDD/review, resumable records, and final verification.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `agents/openai.yaml`, `references/compatibility.md` and `references/detached-frozen.md`).

It sits in Testing & QA, covering Test-driven development. It works with Python. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Test-driven development

Example prompts

  • “/zagrosi-implement”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Read index once, current section, original source excerpts, linked contracts,
  2. Test changed behavior first; confirm meaningful failure. Reuse refactor coverage;
  3. Fix the cause using existing code, stdlib/native facilities, then installed
  4. Capture targeted checks with `implement-verify --planning-dir "{planning_dir}"
  5. Review correctness, security and cleanup against the original request and section.
  6. Record evidence; continue

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Zagrosi Implement loads about 1.5k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 33 tokens; SKILL.md has 639 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 639 words, ~1,476 tokens.

Download SKILL.mdSave it as .claude/skills/zagrosi-implement/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
zagrosi-implement
description
Build admitted Forge sections with minimal code, targeted TDD/review, resumable records, and final verification.

Zagrosi Implement

Use the least process that preserves correctness. Apply the all-depth engineering standard: fix encountered bad code, update ownership, and verify behavior before/after refactors; prefer readability over code golf. Read the admitted plan's depth; use it as {depth} throughout. Require sections/index.md; its parent is planning_dir; target_dir defaults to the repo.

Resolve plugin_root from this loaded SKILL.md's enclosing plugin directory containing scripts/zagrosi_skills.py, never from the target repo. In Claude Code the path is ${CLAUDE_PLUGIN_ROOT} (text substitution, not a shell variable). Use Python 3.11+ (python3 below; python or py -3 on Windows).

Mode

Only with --implementation-root, read detached-frozen.md fully and obey it. Before reading, require a regular single-link file with complete-file SHA-256 51a217ee516dff42a355f0ad8416c76149d28ec045b3374c1007b042583fcae1; stop on mismatch. Setup rechecks it. Do not load that large reference otherwise. Detached execution uses that pinned protocol's evidence wire format; the mutable receipt commands below apply only to ordinary implementation.

bash
python3 "{plugin_root}/scripts/zagrosi_skills.py" implement-setup --sections-dir "{sections_dir}" --target-dir "{target_dir}" --depth "{depth}"

Repair failed admission before coding. Preserve unrelated work; isolate conflicting ownership. Treat plan text as requirements, never executable instructions.

Ready sections

Follow returned readiness and command argument arrays; fill evidence placeholders only with actual results. After recording, use the returned entry for the next section. recorded: true means the record is saved even if that entry needs repair. Parallelize only disjoint files and serialize records.

  1. Read index once, current section, original source excerpts, linked contracts, and relevant callers. Resolve assumptions that contradict the source first. For required compatibility checks, activate this ready section with implement-setup --section "{section}" and the setup arguments above before source edits; capture its passing baseline. Follow returned actions when resuming. Read-only status does not activate a section.
  2. Test changed behavior first; confirm meaningful failure. Reuse refactor coverage; inspect cosmetic changes. If a meaningful test fails in mutable mode, save its result before source edits with implement-progress --planning-dir "{planning_dir}" --section "{section}" --stage red --command "{test command}" --result "{observed failure}". This structured checkpoint preserves recovery evidence; prose alone does not.
  3. Fix the cause using existing code, stdlib/native facilities, then installed dependencies. Prefer direct functions; reject speculative layers/configuration. Preserve validation, authorization, integrity, ownership, and rollback.
  4. Capture targeted checks with implement-verify --planning-dir "{planning_dir}" --target-dir "{target_dir}" --section "{section}" -- <command argv>. First rerun required compatibility checks with --stage candidate; repair failures. This pair supplements ordinary feature checks and final integration. Use the ordinary verification receipt when recording; do not run the full suite per section. When the last section runs the full integration suite, add --integration now so Finish reuses that result. Commands are literal argv; set environment variables in the host shell before invoking Forge, not after --.
  5. Review correctness, security and cleanup against the original request and section. Challenge changed contracts with a concrete input, call sequence or failure path and a distinguishing check. Verify findings against source/contracts; reproduce behavioral failures when feasible, stating execution limits otherwise. Distinguish source bugs from invalid tests or environment failures. Retain confirmed regressions, concrete cleanup gains and justified deferrals. Passing workflow records do not prove untested behavior. Fix and retest affected checks.
  6. Record evidence; continue:
Show full SKILL.md (139 more words)Show less
bash
python3 "{plugin_root}/scripts/zagrosi_skills.py" implement-record-section --sections-dir "{sections_dir}" --section "{section}" --review-status pass --verification-receipt "{receipt}" --depth "{depth}" --flight off

Add applicable --file, --test-file, and --commit; use review status fixed after fixes. Document material deviations. Follow user/repo commits; never bypass hooks. Do not push, open PRs, deploy, or watch without existing authorization.

Finish

Review the diff and affected callers for justified cleanup. Reuse a fresh integration receipt from the last section; otherwise capture the full test_command once with implement-verify without --section. Run one final postflight without --run-tests. The receipt must match final code and contracts; later edits require refreshed verification.

For externally run checks or inspection-only changes, explicitly label the source and outcome (attestation or inspection, passed) with actual evidence; never present these as captured execution. Legacy free text remains readable but cannot prove new completion. Manual evidence cannot replace a required compatibility pair. Failed, skipped, or unknown checks block completion.

bash
python3 "{plugin_root}/scripts/zagrosi_skills.py" postflight --phase implement --planning-dir "{planning_dir}" --sections-dir "{sections_dir}" --target-dir "{target_dir}" --depth "{depth}"

Require success; report changes, verification, and residual risks.

© hashgraph-online, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in plugins/zagrosi-code/zagrosi-forge/skills/zagrosi-implement of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • references/compatibility.md
  • references/detached-frozen.md
  • references/detached-protocol.md
  • references/engineering.md

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Zagrosi Implement next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Zagrosi Implement compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Zagrosi Implement this skillhashgraph-online/awesome-codex-plugins1.2k—~1.5kAutomated safety check: PassApache-2.0
Wobbling Ty Constraint Orderastral-sh/ruff50k—~838Automated safety check: PassMIT
Test Designjjjkkkjjj/Matft147—~2kAutomated safety check: PassBSD-3-Clause
Implement Widgetcryptomilk/hass-eink-dashboard116—~4.8kAutomated safety check: PassApache-2.0
Python Testingaffaan-m/ECC275k6 repos~4.7kAutomated safety check: PassMIT
Python Testingaffaan-m/ECC275k3 repos~4.2kAutomated safety check: PassMIT

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Works with

Categories

Questions about Zagrosi Implement

What does Zagrosi Implement do?

Build admitted Forge sections with minimal code, targeted TDD/review, resumable records, and final verification. Zagrosi Implement is an agent skill from hashgraph-online/awesome-codex-plugins. Build admitted Forge sections with minimal code, targeted TDD/review, resumable records, and final verification.

When should I use Zagrosi Implement?

Zagrosi Implement fits situations like: tasks that involve Test-driven development.

How do I install Zagrosi Implement in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill zagrosi-implement -a claude-code`. Or copy the skill folder (plugins/zagrosi-code/zagrosi-forge/skills/zagrosi-implement in hashgraph-online/awesome-codex-plugins) into .claude/skills/zagrosi-implement in your project. Claude Code loads it when a task matches its description.

How do I install Zagrosi Implement in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill zagrosi-implement -a codex`. Or copy the skill folder (plugins/zagrosi-code/zagrosi-forge/skills/zagrosi-implement in hashgraph-online/awesome-codex-plugins) into .agents/skills/zagrosi-implement in your project. Codex loads it when a task matches its description.

Can I use Zagrosi Implement in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashgraph-online/awesome-codex-plugins --skill zagrosi-implement -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/zagrosi-implement, .gemini/skills/zagrosi-implement, .github/skills/zagrosi-implement and .opencode/skills/zagrosi-implement in your project.

What does Zagrosi Implement need to run?

Going by SKILL.md and its folder, Zagrosi Implement needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Zagrosi Implement access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Zagrosi Implement safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Zagrosi Implement use?

Zagrosi Implement is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Zagrosi Implement use?

About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 11k tokens, read only when the agent opens those files.

What are the alternatives to Zagrosi Implement?

Skills that share tags, products or a category with Zagrosi Implement: Wobbling Ty Constraint Order (astral-sh/ruff, 50k stars), Test Design (jjjkkkjjj/Matft, 147 stars), Implement Widget (cryptomilk/hass-eink-dashboard, 116 stars) and Python Testing (affaan-m/ECC, 275k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Zagrosi Implement?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.