pin

pin is a skill for Claude Code from pantheon-org/tekhne. It costs 110 tokens per session (2,859 once invoked), scanned A, original, MIT.

A persistent decision board for recording approvals, objections, questions, constraints, and corrections during a coding session.

In plain words
What is it for?
Use it to save choices such as a technology decision, a scope limit, a rejected proposal, or a correction to the project direction.
Why use it?
It prevents important decisions from being forgotten when the conversation becomes long or its context is shortened.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter.

Good fit Use it to save choices such as a technology decision, a scope limit, a rejected proposal, or a correction to the project direction.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pantheon-org/tekhne/pin
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 pantheon-org/tekhne --skill pin
Clone the repo
git clone --depth 1 https://github.com/pantheon-org/tekhne

Made for: Claude Code.

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 pin

README.md
[![agentmods](https://agentmods.dev/badge/skills/pantheon-org/tekhne/pin/github.svg)](https://agentmods.dev/skills/pantheon-org/tekhne/pin)
Your own site
<a href="https://agentmods.dev/skills/pantheon-org/tekhne/pin"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/pin/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 pin

Your own site · 80×15
<a href="https://agentmods.dev/skills/pantheon-org/tekhne/pin"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/pin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,859 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 5
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 $0.00110 $0.02859
Opus 5.5 $0.00044 $0.01144
Sonnet 5.5 $0.00022 $0.00572
Haiku 4.5 $0.00011 $0.00286

Measured 14d ago against content hash c74e80940a02, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pin 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 14d 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/agentic-harness/pin/SKILL.md · 282 lines

How it starts

The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pin — Session Decision Board

Persist decisions, questions, constraints, and corrections to a JSON file that survives context compaction. A companion hook injects the board into every tool call so the model never forgets.

Auto-Invoke Rules

After responding to any user message where a decision was made, a question was asked about a proposal, or a constraint was stated, IMMEDIATELY invoke /pin with the appropriate category. Do not ask permission — just pin it.

Examples of auto-invoke triggers:

  • User: "yes go with bun" → respond normally, then /pin ✅ use bun
  • User: "what about the latency impact?" → respond normally, then /pin ❓ split services — latency impact?
  • User: "no skip auth for now" → respond normally, then /pin ❌ auth layer — skip for MVP
  • User: "MVP only, max 3 files" → respond normally, then /pin 📌 MVP only, max 3 files
  • User: "no I meant artisans not developers" → respond normally, then /pin 🔧 target = artisans, not developers

Do NOT pin:

  • Casual conversation, greetings
  • Implementation details (code changes, file edits)
  • Things already pinned (check board first)

Commands

Command Action
/pin ✅ <text> Pin approved item
/pin ❓ <text> Pin pending question
/pin ❌ <text> Pin killed/rejected item
/pin 📌 <text> Pin scope constraint
/pin 🔧 <text> Pin correction
/pin show or /pin Display current board
/pin rm <n> Remove pin by number
/pin clear Clear all pins
/pin clear triage Clear ✅/❓ only, keep 📌/❌/🔧

State File

Path: a session-scoped .session-logs/<slug>/pins.json file under a configurable base directory.

Derive slug from CWD:

GIT_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
REL_PATH="${PWD#$GIT_ROOT/}"
SLUG=$(echo "$REL_PATH" | tr '/' '-')
PINS_DIR="$PRAXIS_DIR/.session-logs/$SLUG"
PINS_FILE="$PINS_DIR/pins.json"

Schema:

{
  "items": [
    {
      "id": 1,
      "type": "approved",
      "emoji": "✅",
      "content": "use bun everywhere",
      "detail": "",
      "ts": "2026-04-01T14:30:00Z"
    }
  ],
  "next_id": 2
}

Read the full file on GitHub · 282 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. 14d ago Changed · -1 lines c74e80940a02
  2. 19d ago Changed · +73 lines 416e918967fe
  3. 1mo ago First seen · 210 lines · 110 tokens per session scan A ffb3f1239592

Subscribe to this mod's changes

pin is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed today), licensed MIT. It adds 110 tokens to every session and 2,859 once invoked, about $0.0004 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 2026-08-31.

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