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 umputun/revdiff --skill revdiff-plangit clone --depth 1 https://github.com/umputun/revdiffWrote 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/umputun/revdiff/revdiff-plan)<a href="https://agentmods.dev/skills/umputun/revdiff/revdiff-plan"><img src="https://agentmods.dev/badge/skills/umputun/revdiff/revdiff-plan/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/umputun/revdiff/revdiff-plan"><img src="https://agentmods.dev/badge/skills/umputun/revdiff/revdiff-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 Rogue Agent · line 34 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00084 | $0.01506 |
| Opus 5.5 | $0.00034 | $0.00602 |
| Sonnet 5.5 | $0.00017 | $0.00301 |
| Haiku 4.5 | $0.00008 | $0.00151 |
Grade A, and why
revdiff-plan 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 1mo 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
revdiff-plan - Review Codex Output
Review the last Codex assistant message with inline annotations using revdiff TUI in a terminal overlay.
Script Path Resolution
Resolve <plugin-root> from this skill's absolute path in the available-skills catalogue. It is the directory containing this plugin's .codex-plugin/plugin.json. Then set:
SCRIPT_DIR="<plugin-root>/skills/revdiff-plan/scripts"
Also resolve the launcher script from the revdiff skill:
LAUNCHER_DIR="<plugin-root>/skills/revdiff/scripts"
Replace <plugin-root> with the resolved absolute path before running either command. Use $SCRIPT_DIR and $LAUNCHER_DIR in place of script paths throughout this skill.
Activation Triggers
- "revdiff-plan", "review plan with revdiff", "annotate plan"
- "review last response", "annotate codex output"
How It Works
- Extract the last Codex assistant message from rollout files
- Write it to a temp markdown file
- Launch revdiff with
--only=<tempfile>in a terminal overlay - User reads the plan, adds annotations on specific lines
- On quit, annotations are captured from stdout
- Codex reads annotations and addresses each one (refine plan, answer questions, fix issues)
- Loop: re-launch revdiff to verify changes, user can add more annotations
- Done when user quits without annotations; clean up temp file
Workflow
Step 1: Extract Last Assistant Message
Run the extraction script with --skip-current to avoid picking up this session's own output:
$SCRIPT_DIR/extract-last-message.sh --skip-current
The script:
- Uses a best-effort heuristic: picks the second most recent rollout JSONL file by modification time from
~/.codex/sessions/ - This assumes the newest file belongs to the active session; if concurrent Codex sessions exist, the wrong file may be selected
- Falls back to the newest file if only one session exists
- Extracts the last assistant message text using jq
- Outputs raw markdown to stdout
- Accepts an explicit rollout file path as an argument to bypass auto-detection when precision matters
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.
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.
- 1mo ago Changed · -8 lines d6aeffc6ab17
- 1mo ago First seen · 176 lines · 84 tokens per session scan A 2007d5137c7d
revdiff-plan is a skill published in the GitHub repository umputun/revdiff (928 stars, last pushed 3d ago), licensed MIT. It adds 84 tokens to every session and 1,506 once invoked, about $0.0003 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.
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