cotend-tooling

cotend-tooling is a skill for Codex from lhh1301506137/CoTend. It costs 131 tokens per session (987 once invoked), scanned A, original, Apache-2.0.

A workflow for cataloguing and evaluating reusable development capabilities, including skills, MCPs, libraries, services, command-line tools, and technical resources. It supports inventory, evaluation, adoption, refreshing, and retirement.

In plain words
What is it for?
Use it to inventory project tooling, assess candidate tools, find reusable capabilities, manage adoption, and retire outdated entries.
Why use it?
It helps a project understand what tools it already has and decide whether a new capability should be reused, adapted, deferred, or rejected. Decisions are based on recorded evidence.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to inventory project tooling, assess candidate tools, find reusable capabilities…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lhh1301506137/cotend/cotend-tooling
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 lhh1301506137/CoTend --skill cotend-tooling
Clone the repo
git clone --depth 1 https://github.com/lhh1301506137/CoTend

Made for: 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 cotend-tooling

README.md
[![agentmods](https://agentmods.dev/badge/skills/lhh1301506137/cotend/cotend-tooling.svg)](https://agentmods.dev/skills/lhh1301506137/cotend/cotend-tooling)
Your own site
<a href="https://agentmods.dev/skills/lhh1301506137/cotend/cotend-tooling"><img src="https://agentmods.dev/badge/skills/lhh1301506137/cotend/cotend-tooling.svg" alt="Measured on agentmods" height="20"></a>
Per session 131 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 987 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.
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 $0.00131 $0.00987
Opus 5 $0.00066 $0.00494
Sonnet 5 $0.00026 $0.00197
Haiku 4.5 $0.00013 $0.00099

Measured 6d ago against content hash a6df1ecc176f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

cotend-tooling 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 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/capability_catalog.py, scripts/project_inventory.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/cotend-tooling/SKILL.md · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CoTend Tooling

Companion version: cotend-collaboration-v2.01

Use evidence-backed reuse without turning a candidate into installation or product authority. Prefer call -> compose -> adapt -> build when fit supports it, and keep defer and reject available.

Required Procedure

  1. Select exactly one mode: inventory | intake | evaluate | find | adopt | refresh | retire. If the request mixes modes, complete one result and name the next mode; do not load multiple mode bodies speculatively.
  2. Read references/workflow.md. It owns the compact shared evidence, authority, lifecycle, parity and output contract.
  3. Read exactly the selected mode reference:
Mode Required mode reference Additional deterministic surface
inventory references/inventory-mode.md scripts/project_inventory.py and the named checkpoint only
intake references/intake-mode.md references/catalog-schema.md
evaluate references/evaluate-mode.md catalog schema/helper only when a catalog record is touched
find references/find-mode.md catalog schema plus scripts/capability_catalog.py
adopt references/adopt-mode.md selected authority/project evidence only
refresh references/refresh-mode.md named locator/receipt; selector only after material fit delta
retire references/retire-mode.md named active receipt/dependents only
  1. Validate/query metadata before detailed reads. Select at most three relevant records, then read only their direct source_pointer and research_pointers. A zero-result search is valid.
  2. Report evidence level, independent lifecycle states, project fit, route, authority stops, rollback, actual changes and validation.

Read the full file on GitHub · 81 lines

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. 6d ago First seen · 81 lines · 131 tokens per session scan A a6df1ecc176f

Subscribe to this mod's changes

cotend-tooling is a skill published in the GitHub repository lhh1301506137/CoTend (2 stars, last pushed 15d ago), licensed Apache-2.0. It adds 131 tokens to every session and 987 once invoked, about $0.0007 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.

Related

Other skills, from other repositories

go-testing

Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.

Gentleman-Programming/gentle-ai · 26 tokens

memstack-business-gdpr

Use this skill when the user says 'GDPR', 'data protection', 'privacy compliance', 'DPA', 'DSAR', 'data subject request', 'cookie consent', 'privacy audit', 'CCPA', or asks 'do I need GDPR for this repo'. Scans the repository to detect what personal data is collected, classifies sensitivity, determines whether GDPR…

cwinvestments/memstack · 121 tokens

memstack-deployment-domain-ssl

Use this skill when the user says 'setup domain', 'configure DNS', 'SSL certificate', 'domain-ssl', 'custom domain', 'HTTPS setup', or needs to configure DNS records, SSL certificates, and custom domains for any hosting provider. Do NOT use for full deployment workflows.

cwinvestments/memstack · 66 tokens

memstack-development-refactor-planner

Use this skill when the user says 'refactor', 'refactoring plan', 'code cleanup', 'reduce duplication', 'simplify code', 'tech debt', 'god class', 'tight coupling', or needs to systematically improve existing code. Identifies targets, assesses risk, and builds incremental execution plans. Do NOT use for writing new…

cwinvestments/memstack · 81 tokens

memstack-product-feedback-analyzer

Use this skill when the user says 'analyze feedback', 'feedback analysis', 'what are customers asking for', or has support tickets, reviews, or survey data to categorize, score, and prioritize into actionable reports. Do NOT use for competitor analysis or market research.

cwinvestments/memstack · 61 tokens

memstack-seo-meta-tag-optimizer

Use this skill when the user says 'meta tags', 'title tag', 'meta description', 'optimize meta', 'SERP preview', or needs to write or optimize HTML meta tags for better search visibility and click-through rates. Do NOT use for schema markup or full site audits.

cwinvestments/memstack · 67 tokens