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.
npx skills add jamesyang124/agent-skills --skill goal-checkpointgit clone --depth 1 https://github.com/jamesyang124/agent-skillsWrote 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.
[](https://agentmods.dev/skills/jamesyang124/agent-skills/goal-checkpoint)<a href="https://agentmods.dev/skills/jamesyang124/agent-skills/goal-checkpoint"><img src="https://agentmods.dev/badge/skills/jamesyang124/agent-skills/goal-checkpoint/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.
<a href="https://agentmods.dev/skills/jamesyang124/agent-skills/goal-checkpoint"><img src="https://agentmods.dev/badge/skills/jamesyang124/agent-skills/goal-checkpoint.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.01483 |
| Opus 5 | $0.00023 | $0.00741 |
| Sonnet 5 | $0.00009 | $0.00297 |
| Haiku 4.5 | $0.00005 | $0.00148 |
Grade A, and why
goal-checkpoint 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal Checkpoint
This skill provides structured goal tracking across sessions. When context fills up (~90%), it commits a checkpoint so the next session can resume exactly where this one left off.
When to Use
Invoke at the start of any non-trivial session where:
- The task spans multiple steps or files
- Work may not finish in one context window
- A clean resume in the next session is important
Trigger phrase: "use goal-checkpoint for this" or "/goal-checkpoint"
Phase 1: Goal Declaration (Session Start)
When invoked, immediately:
1. Ask for the goal
Ask the user:
"Describe the goal for this session. What should be accomplished, and what does 'done' look like?"
2. Write GOAL_STATE.md
Create (or overwrite) GOAL_STATE.md in the repo root:
# Goal State
## Goal
[User's stated goal, verbatim]
## Done When
[User's definition of done]
## Started
[ISO date-time]
## Status
in-progress
## Steps
- [ ] [Step 1]
- [ ] [Step 2]
...
## Completed Steps
(none yet)
## Context Notes
(key decisions, blockers, environment state)
## Resume From
(filled in at checkpoint — what to do first in the next session)
3. Initial commit
Stage and commit GOAL_STATE.md:
chore(goal): 🎯 start session — [one-line goal summary]
Phase 2: Progress Tracking (During Session)
As work progresses:
- After each significant step completes, move it from
StepstoCompleted StepsinGOAL_STATE.mdand add a brief note. - After any file is substantially changed, note it under
Context Noteswith a one-line description of its current state. - Do not commit after every update — batch updates until a natural checkpoint.
Phase 3: Checkpoint Protocol (At ~90% Context)
When context approaches 90% (observed via system reminders about context compression, or when the conversation feels dense), trigger a checkpoint before responding to the next user message.
3.1 Assess current state
Before committing, determine:
- Which steps are complete vs. in-progress
- Which files have been modified and how
- What the very next action should be in the next session
- Any environment or tool state the next session needs to know
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.
- 9d ago First seen · 270 lines · 46 tokens per session scan A 336cfc80563e
goal-checkpoint is a skill published in the GitHub repository jamesyang124/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 46 tokens to every session and 1,483 once invoked, about $0.0002 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.
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