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 danielkinneyspears/federal-proposal-skills --skill running-review-recoverygit clone --depth 1 https://github.com/danielkinneyspears/federal-proposal-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/danielkinneyspears/federal-proposal-skills/running-review-recovery)<a href="https://agentmods.dev/skills/danielkinneyspears/federal-proposal-skills/running-review-recovery"><img src="https://agentmods.dev/badge/skills/danielkinneyspears/federal-proposal-skills/running-review-recovery/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/danielkinneyspears/federal-proposal-skills/running-review-recovery"><img src="https://agentmods.dev/badge/skills/danielkinneyspears/federal-proposal-skills/running-review-recovery.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 | $0.00077 | $0.01418 |
| Opus 5 | $0.00039 | $0.00709 |
| Sonnet 5 | $0.00015 | $0.00284 |
| Haiku 4.5 | $0.00008 | $0.00142 |
Grade A, and why
running-review-recovery 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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Running Review Recovery
Turn review findings into fixed proposal. A color team review produces a findings matrix; recovery is the disciplined work of closing every finding that matters before the next milestone. A Red Team without recovery is theater — the weaknesses were found and then shipped anyway. This skill owns the recovery process: assign each finding, drive the rewrites, verify each fix against the standard, and report a burn-down the team can trust.
When to use this skill
Use this skill immediately after a color team review (reviewing-color-teams),
in the recovery window the schedule reserves. Run it after a Pink, Red, or Gold
review — any review that produced findings to work.
It does not perform the reviews (reviewing-color-teams) and does not write
proposal content (the drafting skills). It manages the closure of findings and
verifies it.
Inputs
Required:
- The color review artifact (
20-color-review-<team>.md) with its findings matrix. 10-compliance-matrix.md: the standard each fix is verified against.- The proposal content the findings point to —
12-sections/and the volume artifacts.
Preferred upstream artifacts:
- The solicitation Section M — the scoring standard the fixes must satisfy.
09-proposal-management/: the schedule, so recovery fits the window, and the action register, which recovery actions feed into.
Read ../../shared/glossary.md and ../../shared/pursuit-workspace.md if not
already read this session.
Intake
Ask these as a numbered list.
- Which review. Which color review's findings is this recovery working, and where is the findings matrix?
- The recovery window. How much time is there before the next milestone (the next review, or submission)?
- The team. Who is available to make the fixes — the section authors, volume leads?
- Scope. Recover all findings, or a defined subset (for example, deficiencies and significant weaknesses only, given a short window)?
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.
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.
- 12d ago First seen · 135 lines · 77 tokens per session scan A 3ad659340a8f
running-review-recovery is a skill published in the GitHub repository danielkinneyspears/federal-proposal-skills (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 77 tokens to every session and 1,418 once invoked, about $0.0004 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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