application-flow

application-flow is a skill for Claude Code from leopu00/job-hunter-team. It costs 115 tokens per session (3,162 once invoked), scanned A, original, MIT.

A controlled workflow for preparing job applications, including CV writing, database updates, review checks, and application links.

In plain words
What is it for?
Use it to move scored job positions through writing, review, and final ready or excluded states while storing application records.
Why use it?
It prevents multiple agents from rewriting the same application, changing data they do not own, or skipping required checks.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 /app/shared/skills/db_query.py next-for-scrittore.

Good fit Use it to move scored job positions through writing, review, and final ready or excluded states while storing application records.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/leopu00/job-hunter-team
agentmods
npx agentmods add skills/leopu00/job-hunter-team/application-flow

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 application-flow

README.md
[![agentmods](https://agentmods.dev/badge/skills/leopu00/job-hunter-team/application-flow/github.svg)](https://agentmods.dev/skills/leopu00/job-hunter-team/application-flow)
Your own site
<a href="https://agentmods.dev/skills/leopu00/job-hunter-team/application-flow"><img src="https://agentmods.dev/badge/skills/leopu00/job-hunter-team/application-flow/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 application-flow

Your own site · 80×15
<a href="https://agentmods.dev/skills/leopu00/job-hunter-team/application-flow"><img src="https://agentmods.dev/badge/skills/leopu00/job-hunter-team/application-flow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 115 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,162 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 Prompt Injection · line 103
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 $0.00115 $0.03162
Opus 5 $0.00057 $0.01581
Sonnet 5 $0.00023 $0.00632
Haiku 4.5 $0.00012 $0.00316

Measured 9d ago against content hash f4f74e5e6bdf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

application-flow 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.

agents/_skills/application-flow/SKILL.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

application-flow — claim, write, gate

The Writer touches only two areas of the DB:

  • positions.status (writing → ready | excluded)
  • applications (INSERT + UPDATE via UPSERT)

Everything else is off-limits: never scores, companies, position_highlights, positions.notes (Analyst territory), positions.applied (Capitano/user only). T09 + scrittore role boundary.

Step 1 — Pull the next position

python3 /app/shared/skills/db_query.py next-for-scrittore

Priority: score ≥ 70 first, then 50-69 descending. The script already orders.

Step 2 — Anti-rewriting gate (MUST run before claim)

A position whose Critic verdict is already set is FINAL — never re-review.

if python3 /app/shared/skills/db_query.py application "$ID" >/dev/null; then
  : # exit 0 → application missing, OR application without verdict → procedi
else
  : # exit 1 → critic_verdict gia' valorizzato → SKIP ASSOLUTO
  continue
fi

Exit codes:

  • 0 → no application yet, or application without verdict → proceed to Step 3.
  • 1critic_verdict already set → SKIP ABSOLUTE, the Critic's vote is final.

⚠️ sqlite3 CLI is NOT installed in the container. Always use db_query.py. Never python3 -c "import sqlite3 ..." workarounds — they bypass the script's invariants.

Step 3 — Anti-collision claim

Verify the position is not already claimed by another Writer, then claim it atomically by flipping the status.

# Check current state
python3 /app/shared/skills/db_query.py position "$ID"

# If status is already `writing` → another Writer has it, SKIP
# Otherwise claim:
python3 /app/shared/skills/db_update.py position "$ID" --status writing

Optional but recommended: announce the claim to peers via tmux so they don't even start the gate sequence on the same ID.

for s in $(tmux list-sessions -F '#{session_name}' | grep -E '^SCRITTORE-[0-9]+$' | grep -v "^${MY_SESSION}$"); do
  jht-tmux-send "$s" "[@$MY_ID -> @${s,,}] [INFO] Sto prendendo position #$ID"
done

Read the full file on GitHub · 222 lines

Files

What ships with it

6 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. 9d ago First seen · 222 lines · 115 tokens per session scan A f4f74e5e6bdf

Subscribe to this mod's changes

application-flow is a skill published in the GitHub repository leopu00/job-hunter-team (49 stars, last pushed yesterday), licensed MIT. It adds 115 tokens to every session and 3,162 once invoked, about $0.0006 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.