agent-friction-ledger

agent-friction-ledger is a skill for Codex from markoblogo/abvx-agent-skills. It costs 62 tokens per session (723 once invoked), scanned A, original, MIT.

A local Markdown report for recording recurring problems encountered while developing with coding agents. It is used only when someone explicitly asks for a review of such problems.

In plain words
What is it for?
Use it to document what went wrong, what was tried, the likely cause, how it was resolved, and what lasting fix could improve a tool, guide, process, or evaluation.
Why use it?
It turns repeated blockers, confusing errors, missing documentation, incompatible tools, and manual workarounds into a clear record without sending session data outside the workspace.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to document what went wrong, what was tried, the likely cause, how it was resolved, and what lasting fix could improve a tool, guide, process, or evaluation.

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Install with agentmods
npx agentmods add skills/markoblogo/abvx-agent-skills/agent-friction-ledger
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 markoblogo/abvx-agent-skills --skill agent-friction-ledger
Clone the repo
git clone --depth 1 https://github.com/markoblogo/abvx-agent-skills

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 agent-friction-ledger

README.md
[![agentmods](https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/agent-friction-ledger/github.svg)](https://agentmods.dev/skills/markoblogo/abvx-agent-skills/agent-friction-ledger)
Your own site
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/agent-friction-ledger"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/agent-friction-ledger/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 agent-friction-ledger

Your own site · 80×15
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/agent-friction-ledger"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/agent-friction-ledger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 723 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 $0.00062 $0.00723
Opus 5 $0.00031 $0.00362
Sonnet 5 $0.00012 $0.00145
Haiku 4.5 $0.00006 $0.00072

Measured 12d ago against content hash 9facc4413434, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agent-friction-ledger 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 12d 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/agent-friction-ledger/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Friction Ledger

Turn repeatable agent friction into a small, actionable local artifact. This skill is opt-in and never sends session data outside the workspace.

Trigger

Use only when:

  • the user explicitly asks for a friction report or review.

Do not run merely because a task had normal shell output, a single failed command, or a clean completion.

Capture Rules

Record only friction that is actionable and evidenced by the current task:

  • repeated blocker or retry loop;
  • misleading, incomplete, or contradictory error;
  • missing, stale, or hard-to-find documentation;
  • tool, provider, environment, or version incompatibility;
  • manual workaround that should become a durable improvement.

Do not record every tool call, full conversation, raw logs, private URLs, credentials, personal data, client data, or unrelated working-tree changes.

Workflow

  1. Name the task boundary and identify only the material friction events.
  2. For each event, record: symptom -> attempted -> root cause -> resolution -> durable fix.
  3. Mark confidence: confirmed, likely, or unresolved. Do not turn a guess into a root cause.
  4. Redact or omit sensitive content before writing.
  5. Write a local report to an ignored or private location only. Default to .git/agent-friction/YYYY-MM-DD-<task>.md unless the repo defines another approved ignored path.
  6. Group action items under docs, tooling, skill/process, and research.
  7. Propose the smallest durable change, but do not apply it without normal task authorization.

Report Shape

# Agent Friction Report: <task>

## Scope
## Material Friction
### <short label>
- Symptom:
- Attempted:
- Root cause: <confirmed|likely|unresolved>
- Resolution:
- Durable fix:

## Action Items
### Docs
### Tooling
### Skill / Process
### Research

## Decision
- Keep local / propose follow-up / no durable change

Guardrails

  • Local Markdown only. Never POST to a viewer, telemetry endpoint, or external API.
  • Never write to a tracked repo path by default. If no ignored/private location exists, stop and ask before writing.
  • A friction report is not permission to create a ticket, alter a skill, edit docs, or change a process.
  • Prefer one concise report over a growing per-turn buffer.
  • If the task contains regulated, personal, client, deal, financial, or credential data, record the abstract failure mode only.

Read the full file on GitHub · 86 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. 12d ago First seen · 86 lines · 62 tokens per session scan A 9facc4413434

Subscribe to this mod's changes

agent-friction-ledger is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 723 once invoked, about $0.0003 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 2026-08-30.