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agents-remember: Skill for Claude Code

.agents/skills/c-01-findings-capture/SKILL.md

c-01-findings-capture is a skill for Claude Code, Codex from Foxfire1st/agents-remember. It costs 35 tokens per session (450 once invoked), scanned A, original, MIT.

A procedure for recording confirmed project findings in lasting files instead of leaving them only in a conversation. It chooses a destination based on whether a finding changes requirements, architecture, the current task, or onboarding.

In plain words
What is it for?
Capturing requirement changes, architecture questions, task decisions, and verified updates to developer onboarding during coding or review.
Why use it?
Important decisions and corrections can otherwise be forgotten or copied into the wrong document. The procedure also asks the agent to verify facts before preserving them.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is Foxfire1st/agents-remember's own configuration. It tells Claude Code and Codex how to work on agents-remember itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agents-remember configures →

not rated 39repo yesterday A scan SkillSpector: pass 35 tokens original MIT
View source ↗ Foxfire1st/agents-remember foxfire1st.github.io
Reuse

Borrowing it

Nothing to install: this file belongs to Foxfire1st/agents-remember. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Foxfire1st/agents-remember/main/.agents/skills/c-01-findings-capture/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Foxfire1st/agents-remember

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 c-01-findings-capture

README.md
[![agentmods](https://agentmods.dev/badge/skills/foxfire1st/agents-remember/c-01-findings-capture/github.svg)](https://agentmods.dev/skills/foxfire1st/agents-remember/c-01-findings-capture)
Your own site
<a href="https://agentmods.dev/skills/foxfire1st/agents-remember/c-01-findings-capture"><img src="https://agentmods.dev/badge/skills/foxfire1st/agents-remember/c-01-findings-capture/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 c-01-findings-capture

Your own site · 80×15
<a href="https://agentmods.dev/skills/foxfire1st/agents-remember/c-01-findings-capture"><img src="https://agentmods.dev/badge/skills/foxfire1st/agents-remember/c-01-findings-capture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 450 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 $0.00035 $0.00450
Opus 5.5 $0.00014 $0.00180
Sonnet 5.5 $0.00007 $0.00090
Haiku 4.5 $0.00003 $0.00045

Measured 2mo ago against content hash c6b5f4e02cc9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

c-01-findings-capture 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 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.

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.

.agents/skills/c-01-findings-capture/SKILL.md · 40 lines

How it starts

The opening of the file, as written. The whole thing — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.

c-01-findings-capture Findings Capture

Use this skill when durable knowledge emerges during developer discussion, task execution, review, or direct clarification and should not remain stranded in chat.

Companion file:

  1. findings-capture-workflow.md

Operating Modes

  1. Inside a task workflow (an l-01-agent-lifecycles orchestrator build phase or a w-02-light-task-workflow task, including a master + light sub-task series).
  2. Standalone during direct clarification.

Durable Destinations

Route the finding to the owning durable surface:

  1. requirement_change_candidates.md when the finding changes scope, requirements, or developer intent.
  2. architecture_open_questions.md when the finding exposes a structural decision, dependency boundary, or design uncertainty.
  3. The active phase artifact when the finding is planning-, implementation-, or review-local and belongs to the current task flow.
  4. Onboarding through c-05-create-or-update-onboarding-files when the finding is a verified factual current-state clarification that should survive outside the task.

Rules

  1. Verify relevant code and onboarding before durable capture when possible.
  2. Do not copy developer clarifications into onboarding verbatim. Check them against code reality first; when code contradicts or only partially supports the clarification, surface the mismatch and resolve it before durable capture.
  3. Ask targeted follow-up questions if the finding is still ambiguous.
  4. Do not rewrite approved requirements.md or architecture.md directly from one finding without developer approval.
  5. Do not send speculative, future-state, unresolved, or task-only notes into onboarding.
  6. If a finding affects both task-local artifacts and onboarding, update the task-local owner first, then propagate to onboarding only if the factual guardrail is satisfied.
  7. Use broader discovery only when direct code and onboarding checks are not enough.
  8. Never leave a confirmed finding only in chat when an appropriate durable destination exists.

Read the full file on GitHub · 40 lines

Files

What ships with it

1 file 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. 2mo ago First seen · 40 lines · 35 tokens per session scan A c6b5f4e02cc9

Subscribe to this mod's changes

c-01-findings-capture is a skill published in the GitHub repository Foxfire1st/agents-remember (39 stars, last pushed yesterday), licensed MIT. It adds 35 tokens to every session and 450 once invoked, about $0.0001 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.

Memory and contextOrchestrationagent-memory-systemagentic-control-planebitemporalcodegraphsemantic-search
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