analyze-constraints-readiness

analyze-constraints-readiness is a skill for Claude Code, Codex from yogsoth-ai/de-anthropocentric-research-engine. It costs 59 tokens per session (3,282 once invoked), scanned A, original, Apache-2.0.

A method for assessing whether a research target or plan is ready by examining obstacles, resources, dependencies, bottlenecks, and required gates. It supports quick triage as well as deeper analysis of causes and mitigation paths.

In plain words
What is it for?
Use it to assess readiness, estimate resource limits, classify constraints, find bottlenecks, and plan a route toward a target.
Why use it?
It makes hidden blockers and resource gaps explicit before work begins. It helps identify which constraint is binding and what must change to move forward.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to assess readiness, estimate resource limits, classify constraints, find bottlenecks, and plan a route toward a target.

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Install with agentmods
npx agentmods add skills/yogsoth-ai/de-anthropocentric-research-engine/analyze-constraints-readiness
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 yogsoth-ai/de-anthropocentric-research-engine --skill analyze-constraints-readiness
Clone the repo
git clone --depth 1 https://github.com/yogsoth-ai/de-anthropocentric-research-engine

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 analyze-constraints-readiness

README.md
[![agentmods](https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/analyze-constraints-readiness/github.svg)](https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/analyze-constraints-readiness)
Your own site
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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 analyze-constraints-readiness

Your own site · 80×15
<a href="https://agentmods.dev/skills/yogsoth-ai/de-anthropocentric-research-engine/analyze-constraints-readiness"><img src="https://agentmods.dev/badge/skills/yogsoth-ai/de-anthropocentric-research-engine/analyze-constraints-readiness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 59 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,282 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 $0.00059 $0.03282
Opus 5.5 $0.00024 $0.01313
Sonnet 5.5 $0.00012 $0.00656
Haiku 4.5 $0.00006 $0.00328

Measured 28d ago against content hash d22507a29c0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

analyze-constraints-readiness 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 28d 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.

skills/analyze-constraints-readiness/SKILL.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

analyze-constraints-readiness

Purpose

Assess feasibility and readiness by identifying constraints, resources, dependencies, bottlenecks, and maturation gates.

Input contract

mode_contracts:
  obstacle-triage: &readiness_input
    required: [candidate_or_plan, readiness_dimensions]
    optional: [resource_estimates, dependencies, assumptions, target_gates]
    constraints: [evidence_must_be_attached_to_each_scored_dimension]
  readiness-assessment: *readiness_input
  resource-envelope: *readiness_input
  causal-constraint-analysis: *readiness_input
  maturation-path: *readiness_input

Execution protocol

Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

  1. Define candidate, dimensions, hard constraints, and target gates. You MUST load skill classify-constraint to classify each declared constraint.
  2. Select obstacle-triage, readiness-assessment, resource-envelope, causal-constraint-analysis, or maturation-path.
  3. You MUST load skill score-object to score the selected dimensions with evidence. You MUST load skill identify-bottleneck to identify binding constraints and dependencies.
  4. You MUST load skill assess-removability to test whether binding constraints can be removed. You MUST load skill design-mitigation to design removal or mitigation paths and return a readiness conclusion. If several feasible responses must be balanced as a joint set, consider portfolio-optimization. If the target goal remains too broad to assess, consider decompose-research-goal. If external change dominates present readiness, consider analyze-future-scenarios. If several candidate paths are ready for comparative selection, rank-candidates may be the better next tactic.

Mode branches

  • obstacle-triage: rapidly enumerate and severity-rank the obstacles that could block the target, preserving evidence status for each one. You MUST load skill identify-obstacles to enumerate the obstacles. You MUST load skill list-undesirable-effects to retain their observed consequences.
  • readiness-assessment: score the required readiness dimensions with supporting evidence and identify the dimensions that keep the target from being ready. You MUST load skill assess-readiness-dimension to assess every required dimension.
  • resource-envelope: estimate time, cost, and personnel bounds from analogies, then flag low-confidence estimates for investigation. You MUST load skill quantify-resource-gap to quantify the gap. You MUST load skill identify-critical-chain to expose the binding resource sequence.
  • causal-constraint-analysis: trace how constraints interact through dependencies and conflicts to identify the binding cause rather than only its symptoms. You MUST load skill trace-causal-chain to trace constraint propagation. You MUST load skill extract-core-conflict to isolate the core conflict. You MUST load skill challenge-assumption to test the assumptions that sustain it.
  • maturation-path: sequence stage gates and milestones that move the target from current readiness to the declared implementation threshold. You MUST load skill project-future-reality to project the proposed path. You MUST load skill apply-stage-gate to apply its stage gates.

Read the full file on GitHub · 170 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. 28d ago First seen · 170 lines · 59 tokens per session scan A d22507a29c0d

Subscribe to this mod's changes

analyze-constraints-readiness is a skill published in the GitHub repository yogsoth-ai/de-anthropocentric-research-engine (505 stars, last pushed yesterday), licensed Apache-2.0. It adds 59 tokens to every session and 3,282 once invoked, about $0.0002 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 2026-09-24.

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